Image Retrieval

Author

Steven Ndung’u et al.

Published

July 11, 2024


:::{.column-page}

Model Evaluation COSFIRE Filters Approach


Introduction

We obtain the 26 statistically significant sets of hyperparameters from the classification paper along with their respective training, validation, and test descriptors. Based on these descriptors, we perform image hashing for each set of descriptors using a selected set of MLP hyperparameters (for the grid search).

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The outputs below represent an example of a single experiment based on an array of hyperparameters considered to determine the optimal configuration of the MLP hashing architecture (For bit size 32).

Code
class CosfireNet(nn.Module):
    def __init__(self, input_size, bitsize, l1_reg, l2_reg):
        super(CosfireNet, self).__init__()
        self.l1_reg = l1_reg
        self.l2_reg = l2_reg
        self.hd = nn.Sequential(
            nn.Linear(input_size, 300),
            nn.BatchNorm1d(300),
            nn.Tanh(),
            nn.Linear(300, 200),
            nn.BatchNorm1d(200),
            nn.Tanh(),
            nn.Linear(200, bitsize),
            nn.Tanh()
        )
    def forward(self, x):
        regularization_loss = 0.0
        for param in self.hd.parameters():
            regularization_loss += torch.sum(torch.abs(param)) * self.l1_reg  # L1 regularization
            regularization_loss += torch.sum(param ** 2) * self.l2_reg  # L2 regularization
        return self.hd(x), regularization_loss

Without regularization

With regularization
Tip

tiply, each row represents a unique combination of MLP hyperparameters, and every column represents the results yielded by each of the 26 statistically significant sets of descriptors.


::: {.panel-tabset}

In these experiments, we have considered four different bit sizes.

Bit size 32

The results in this presentation are from two experimental designs:

::: {.panel-tabset}

Experiment 1 Results

The thresholding is based on fixed values between -1 and 1 on a step size of 0.1.

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
12 372 32 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 88.15 88.89 87.42 87.97 85.95 88.51 90.37 89.69 88.90 88.50 89.32 88.88 88.44 89.33 88.66 90.90 89.46 89.03 90.45 88.40 89.21 88.56 87.27 88.69 89.24 88.44
13 372 32 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 88.03 87.76 88.11 87.47 87.14 89.78 87.92 89.90 87.77 89.09 88.16 90.41 91.19 88.11 89.11 89.99 88.48 90.26 88.93 88.05 88.70 88.63 88.04 88.34 89.05 88.85
14 372 32 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 87.83 88.50 87.10 87.50 87.98 42.66 88.12 89.24 89.80 87.92 89.40 89.45 89.83 89.27 89.36 88.87 89.00 89.81 88.72 89.33 89.23 89.86 88.66 87.33 89.49 87.92
15 372 32 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 88.31 42.66 87.93 88.42 88.34 87.64 89.14 88.67 89.30 88.40 89.30 90.15 90.59 88.27 89.10 89.92 88.14 89.96 90.09 89.63 87.80 88.68 87.03 87.53 86.88 88.42
32 372 32 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 89.03 90.56 88.60 88.76 88.40 89.81 89.59 88.40 89.03 89.45 89.90 89.40 89.36 89.31 88.59 42.66 89.67 90.52 88.73 89.55 90.34 89.25 89.13 89.00 88.25 88.58
33 372 32 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 87.93 89.94 88.93 87.08 87.36 89.65 89.61 89.81 89.84 89.75 89.52 90.50 89.47 90.16 90.23 89.83 90.34 90.21 88.96 89.67 89.63 89.00 89.29 88.80 89.77 89.06
34 372 32 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 89.51 88.58 89.56 90.16 88.31 88.93 89.65 89.28 42.66 89.09 88.10 91.51 89.41 90.23 89.25 90.25 90.55 90.44 42.66 90.43 89.93 89.88 88.01 87.55 88.77 89.07
35 372 32 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 88.52 88.77 89.29 87.40 89.21 89.10 89.59 89.37 90.86 89.75 88.00 89.51 90.29 91.07 88.89 90.61 90.19 89.40 89.93 90.00 89.83 87.89 90.59 89.29 89.55 88.84
52 372 32 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 88.86 89.77 89.76 89.13 90.25 89.13 89.91 91.26 89.82 88.79 88.79 89.76 89.85 90.46 90.89 90.62 90.09 90.18 89.63 89.76 90.05 89.28 42.66 88.68 90.19 87.86
53 372 32 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 88.95 89.84 88.68 89.23 90.51 89.56 89.87 91.00 89.09 90.49 89.89 91.00 90.46 90.51 91.54 89.86 90.87 90.40 89.80 89.05 88.93 90.39 90.04 89.25 88.99 89.07
54 372 32 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 88.25 88.68 88.18 90.42 90.33 89.27 88.82 90.12 90.20 89.11 89.35 90.47 91.64 90.35 89.76 90.77 90.58 89.55 92.03 90.72 90.25 89.41 87.38 89.60 89.75 88.63
55 372 32 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 88.70 88.71 90.15 89.03 90.26 89.19 90.02 89.35 89.40 90.72 89.36 91.45 89.49 89.50 89.51 91.30 90.58 90.70 88.67 89.75 90.72 88.93 89.98 90.18 88.41 90.97
72 372 32 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 85.63 87.67 87.85 87.26 86.57 88.31 88.52 89.41 89.19 87.78 88.04 88.88 87.44 88.67 88.88 90.18 88.16 89.95 87.82 89.16 88.99 89.30 88.88 87.42 89.39 87.81
73 372 32 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 86.83 88.38 87.84 42.66 88.46 89.87 88.79 89.70 42.66 89.23 89.46 88.71 89.82 88.13 89.61 89.62 89.41 88.85 88.25 88.59 89.02 89.21 87.68 88.73 88.94 87.97
74 372 32 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 87.77 88.68 86.21 88.48 87.43 88.44 89.31 88.79 88.83 88.37 89.89 88.69 89.57 89.28 89.47 90.53 89.63 90.07 89.62 89.34 89.34 88.42 88.83 88.14 88.65 89.36
75 372 32 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 87.23 87.92 88.50 88.56 87.08 88.09 87.81 89.95 89.78 88.73 89.92 89.64 90.49 88.62 89.07 89.25 89.78 89.30 88.37 88.46 89.53 88.70 88.50 88.77 89.33 88.60
92 372 32 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 87.84 88.94 88.33 88.95 87.24 88.90 88.27 91.51 89.81 88.93 89.89 88.98 90.37 90.24 90.65 89.94 90.56 89.08 89.78 89.64 89.56 89.07 88.68 89.32 89.05 88.49
93 372 32 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 87.07 88.51 89.43 89.34 88.59 88.23 88.50 91.40 88.23 89.71 88.70 88.88 89.76 89.40 88.56 90.74 89.41 89.15 89.00 89.83 89.91 89.91 89.80 89.53 89.26 88.59
94 372 32 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 86.82 87.98 88.39 88.70 88.45 87.46 90.57 89.02 89.74 89.09 89.59 89.38 89.62 89.81 89.69 89.68 89.76 89.92 89.42 89.65 88.57 90.00 87.21 89.30 89.26 88.33
95 372 32 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 88.74 90.32 89.71 89.18 88.02 90.25 89.98 90.21 89.73 89.20 89.32 88.98 89.64 90.75 91.04 91.18 88.11 90.58 89.07 89.37 89.13 89.63 89.11 87.92 88.72 88.00
112 372 32 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 88.29 89.21 89.82 88.89 89.66 89.60 89.96 89.74 90.44 90.62 90.80 89.28 90.21 89.80 90.80 90.05 90.41 90.68 88.80 89.40 88.04 89.23 89.43 88.88 89.78 88.89
113 372 32 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 88.65 89.27 90.30 88.22 89.88 90.43 90.14 89.69 89.42 89.25 88.16 90.22 90.75 88.61 89.56 91.24 90.21 90.49 89.51 89.55 89.98 88.09 87.87 88.78 89.08 89.81
114 372 32 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 87.50 89.61 88.71 88.34 89.37 88.81 90.03 89.88 89.42 89.20 89.27 89.75 90.00 88.99 90.07 90.98 90.50 90.00 89.77 89.83 89.82 88.10 90.96 88.33 88.93 89.20
115 372 32 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 87.93 89.47 89.14 87.76 89.45 89.02 90.25 90.04 89.60 89.30 89.34 90.60 91.29 90.47 89.69 89.02 90.20 90.03 89.24 89.67 88.99 89.64 87.85 89.43 89.44 88.45
132 372 32 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 85.72 88.29 87.64 87.75 87.04 88.21 88.04 88.57 88.36 88.52 88.98 89.20 89.79 87.80 87.52 89.75 87.54 88.21 87.15 89.30 88.36 87.14 86.63 86.85 87.49 87.86
133 372 32 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 87.05 88.18 87.50 87.88 42.66 88.31 89.41 89.42 88.73 87.69 91.84 89.61 89.68 89.26 86.90 89.63 88.00 88.87 91.37 87.58 87.89 88.84 42.66 87.64 88.78 87.15
134 372 32 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 88.29 86.22 87.09 86.79 85.72 86.84 89.56 88.01 87.92 87.16 89.23 88.87 88.83 88.26 88.85 89.88 89.71 88.74 90.27 89.14 89.37 88.62 87.54 87.67 88.11 88.42
135 372 32 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 88.26 87.29 88.51 87.39 87.64 88.09 88.38 89.01 87.65 88.83 90.43 88.87 89.34 87.78 89.02 90.55 88.14 89.01 89.28 91.47 88.43 88.07 88.32 88.35 87.41 89.22
152 372 32 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 89.26 87.75 88.84 42.66 88.28 86.64 88.81 89.47 89.17 88.56 89.89 87.75 90.56 89.83 89.51 88.90 90.59 89.46 89.90 90.18 89.29 89.79 88.57 88.83 90.25 88.85
153 372 32 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 88.17 89.40 88.81 89.27 87.40 87.40 89.19 89.02 89.45 89.03 89.41 89.59 89.21 89.13 89.16 89.51 88.95 89.66 89.89 89.45 89.73 88.58 90.70 88.16 87.95 89.23
154 372 32 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 88.35 88.53 88.76 89.97 86.20 89.57 89.24 42.66 89.47 89.59 89.61 89.64 89.08 87.91 89.03 89.80 89.86 90.05 89.66 90.58 89.40 88.47 87.38 88.88 89.56 88.24
155 372 32 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 87.79 88.75 88.74 88.01 87.45 89.50 88.46 88.37 89.41 88.09 89.91 87.42 90.32 89.30 90.43 89.93 90.08 89.68 89.17 90.68 88.82 89.30 89.54 88.46 88.68 88.16
172 372 32 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 89.75 89.47 88.64 87.71 88.37 90.13 90.11 89.82 90.54 90.00 89.27 90.27 90.48 89.28 89.73 91.17 89.94 90.05 90.28 90.50 88.84 89.35 89.06 88.81 89.37 89.35
173 372 32 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 88.87 89.43 89.64 88.35 89.14 88.51 89.05 89.00 89.60 89.26 89.90 89.66 90.95 88.68 90.95 90.15 89.70 87.85 88.33 88.65 88.72 87.93 88.78 88.78 88.16 88.44
174 372 32 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 88.89 88.54 89.65 88.36 88.51 87.85 89.42 90.95 89.71 91.08 90.16 90.52 91.06 91.09 89.10 88.77 89.82 86.53 89.01 89.54 89.34 88.98 89.32 86.90 89.59 89.32
175 372 32 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 88.27 89.76 89.03 88.31 89.08 89.00 89.91 89.51 88.99 90.29 89.60 88.97 88.86 90.00 90.76 89.30 90.06 89.55 89.92 89.30 89.69 88.39 89.83 88.63 90.00 88.35
192 372 32 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 42.66 88.23 86.22 87.00 88.11 89.79 88.80 89.64 42.66 87.66 89.42 88.91 89.90 87.96 89.36 89.99 90.39 89.67 89.22 88.61 88.81 89.12 89.56 89.62 88.12 90.02
193 372 32 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 89.02 89.00 87.31 87.91 88.83 88.22 88.84 91.05 89.20 88.81 88.55 89.73 89.75 88.74 88.62 90.52 87.67 89.32 89.10 90.19 89.21 90.38 87.80 89.53 88.72 89.03
194 372 32 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 87.94 88.16 88.38 87.85 88.13 88.55 89.77 90.04 88.94 89.88 91.24 89.06 91.15 90.03 89.81 89.20 89.52 89.57 88.67 89.48 89.38 89.53 88.31 89.03 89.37 87.65
195 372 32 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 88.48 88.27 87.96 88.86 87.97 88.28 88.51 88.38 89.03 88.95 90.47 90.15 89.06 88.29 89.12 90.38 88.55 90.37 89.30 92.36 89.54 88.85 90.44 88.20 89.79 86.61
212 372 32 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 88.05 89.23 88.12 89.92 88.66 88.64 90.53 90.27 90.24 90.04 89.63 88.69 90.51 89.43 89.98 90.21 90.45 90.39 90.31 89.79 88.68 88.61 89.33 88.62 87.43 88.26
213 372 32 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 88.74 89.79 87.43 88.29 87.92 88.14 89.09 91.35 89.80 89.37 89.58 89.65 89.49 88.98 90.59 91.18 90.15 90.34 91.23 89.38 89.14 89.31 88.71 89.91 89.13 87.80
214 372 32 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 86.91 89.32 88.93 88.92 88.63 87.82 88.58 89.73 89.06 90.29 88.90 88.58 90.09 89.15 90.30 90.38 89.92 90.25 89.91 90.94 88.11 89.03 88.99 88.23 88.62 88.21
215 372 32 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 87.70 88.98 90.32 87.97 89.08 88.59 90.31 89.03 89.67 89.29 89.20 88.59 90.37 88.84 90.97 89.58 89.40 90.39 88.70 89.47 89.83 88.10 88.97 89.67 89.53 89.94
232 372 32 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 89.31 89.19 89.78 89.51 88.58 89.13 90.58 89.55 89.00 42.66 89.40 89.73 89.27 90.71 90.58 90.84 89.32 89.69 90.68 89.15 88.80 88.61 88.04 89.15 89.29 90.16
233 372 32 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 88.93 89.56 90.73 89.62 90.52 88.36 89.43 90.00 89.61 90.14 89.16 90.18 90.80 89.66 89.95 91.28 90.59 90.37 90.18 91.19 88.83 89.27 89.04 88.97 89.41 88.16
234 372 32 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 88.90 89.70 89.37 89.87 89.49 88.81 90.29 91.11 90.32 89.82 90.04 91.38 90.57 90.65 89.65 90.62 90.40 90.68 90.38 89.84 90.49 89.43 88.52 89.60 89.99 88.52
235 372 32 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 89.14 88.82 90.62 90.11 88.88 89.23 89.94 90.80 88.92 90.66 89.60 90.33 91.37 90.42 90.51 91.35 90.07 89.85 89.89 90.56 89.82 89.62 86.46 89.06 89.52 88.13
252 372 32 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 88.17 87.28 87.69 87.73 87.55 88.70 89.37 88.50 88.40 88.32 88.23 89.09 90.62 89.93 87.99 89.46 89.85 88.75 89.08 88.95 89.13 88.51 89.19 87.41 89.66 88.95
253 372 32 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 88.17 88.86 87.03 88.12 87.99 88.78 89.58 90.62 91.09 89.40 88.59 89.77 90.73 88.44 88.92 90.76 89.26 89.33 90.01 89.73 89.09 88.07 89.69 88.89 89.64 89.32
254 372 32 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 86.47 88.43 87.82 89.52 86.62 89.30 90.08 87.79 89.05 88.75 89.45 88.57 89.85 89.27 87.72 88.61 89.20 89.10 88.81 89.19 87.62 88.34 88.99 88.85 89.13 88.97
255 372 32 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 85.98 88.14 89.86 88.36 87.05 90.41 89.45 90.06 90.20 89.11 88.35 88.30 90.54 88.39 89.04 90.13 88.30 89.69 88.52 90.21 87.98 89.29 88.92 89.61 87.56 88.26
272 372 32 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 89.19 89.91 87.92 88.53 87.45 89.19 89.39 90.83 89.98 89.87 89.67 89.82 90.33 89.80 89.79 91.55 90.17 90.86 91.05 88.96 90.10 88.91 88.09 88.11 89.67 89.52
273 372 32 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 89.14 88.95 91.18 88.17 88.58 90.08 88.53 89.77 90.04 90.42 90.61 88.34 90.26 90.34 89.36 89.15 88.56 90.74 90.50 90.80 89.48 89.84 89.84 88.44 89.36 88.05
274 372 32 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 87.73 89.60 90.26 89.20 88.83 88.64 88.50 89.76 89.94 89.62 89.70 89.89 89.26 90.56 89.99 90.65 89.23 90.03 89.17 88.60 89.58 89.63 89.88 87.58 89.50 88.30
275 372 32 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 88.34 89.79 89.19 89.96 87.92 88.46 90.69 89.12 89.18 91.24 89.26 90.33 89.75 90.01 89.73 90.39 89.44 90.73 90.89 89.30 90.07 88.67 89.32 88.49 89.97 88.61
292 372 32 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 88.77 89.76 89.57 89.05 89.92 89.10 88.74 90.42 91.13 89.79 89.17 89.97 90.66 91.06 89.20 90.74 90.04 91.15 89.85 89.66 90.66 90.35 88.68 87.83 90.29 88.69
293 372 32 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 88.67 88.28 89.05 88.63 89.39 89.48 90.42 89.86 89.86 89.49 89.84 89.22 90.31 88.51 90.85 89.07 90.52 90.48 89.13 89.59 90.50 88.92 89.90 88.25 88.95 88.58
294 372 32 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 88.94 88.32 90.31 89.44 88.91 88.63 89.14 89.97 90.35 90.29 88.97 89.60 90.14 90.91 89.34 90.35 89.01 90.26 89.06 89.95 89.45 89.20 89.26 89.03 89.31 87.31
295 372 32 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 89.34 88.98 88.96 88.69 89.01 88.65 91.30 91.00 90.08 90.66 90.78 89.51 90.96 90.71 89.69 90.36 90.27 88.77 88.99 90.04 89.51 89.58 90.18 88.93 90.32 89.01
312 372 32 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 86.99 86.86 87.15 86.28 87.23 87.57 87.76 89.32 87.95 88.06 88.64 88.55 89.36 88.17 87.62 89.63 87.99 88.87 89.18 87.45 88.68 89.76 85.67 88.58 88.99 86.22
313 372 32 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 87.55 88.88 87.03 87.68 86.17 90.24 89.18 87.55 88.22 87.98 89.19 88.66 88.48 87.66 89.23 90.30 88.66 89.04 90.01 89.45 88.72 88.79 88.90 85.97 88.66 88.47
314 372 32 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 87.18 87.46 86.88 88.07 85.70 87.96 89.21 88.80 86.24 87.21 89.61 88.96 90.32 88.02 88.04 89.80 88.71 88.98 88.28 88.78 88.05 88.39 88.43 87.52 89.45 87.19
315 372 32 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 88.30 87.85 87.50 86.12 85.63 88.55 87.12 88.92 88.80 87.75 89.51 90.04 89.23 89.36 87.69 88.26 88.74 87.55 88.61 89.03 88.73 87.98 88.29 88.59 89.00 88.31
332 372 32 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 88.44 87.99 88.91 88.63 87.72 88.83 89.42 89.02 87.89 90.07 89.79 89.40 89.77 90.08 89.68 89.82 89.14 90.77 89.43 92.40 89.17 88.98 89.09 87.92 88.91 88.89
333 372 32 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 88.80 88.35 89.15 89.48 87.61 89.65 90.38 89.42 90.62 88.90 89.93 90.12 90.16 89.86 89.73 89.88 89.54 90.66 90.58 90.66 88.55 89.99 88.44 88.61 89.66 89.10
334 372 32 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 89.01 89.44 88.87 88.20 87.82 88.57 89.10 90.51 88.71 89.69 89.17 90.64 91.09 89.59 88.99 89.57 89.90 90.62 89.62 89.79 88.59 88.88 88.74 88.46 88.10 88.04
335 372 32 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 88.04 89.41 88.35 87.78 88.87 90.08 89.13 90.59 89.35 89.33 89.23 87.91 90.20 90.10 89.75 91.28 89.57 89.53 90.01 89.32 86.89 89.21 88.25 88.29 88.45 88.02
352 372 32 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 89.55 89.59 88.43 88.83 87.71 42.66 90.01 89.24 89.23 89.49 90.15 90.22 89.89 89.34 89.05 89.53 89.97 89.88 89.37 91.08 88.34 89.07 87.82 87.71 88.66 89.24
353 372 32 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 88.48 89.12 88.65 89.04 89.85 89.08 87.90 89.83 88.45 89.91 89.52 89.93 90.37 90.31 89.80 88.39 90.83 88.86 89.51 89.47 89.48 89.05 88.23 88.98 89.15 89.38
354 372 32 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 89.10 88.17 89.38 88.41 88.92 91.51 89.01 89.94 89.96 90.06 89.89 90.07 89.60 89.41 90.07 91.41 90.96 90.67 89.47 90.70 88.36 88.26 88.64 88.91 90.61 89.21
355 372 32 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 88.97 88.52 90.15 88.83 89.83 88.54 89.78 89.94 89.78 90.28 89.76 89.50 90.32 89.99 89.37 89.88 90.83 90.52 88.60 90.96 89.49 89.37 88.91 86.97 89.48 88.98
372 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 90.09 92.57 90.60 91.64 91.29 90.49 91.30 90.30 92.56 91.06 90.66 90.80 92.14 91.15 89.49 91.71 90.67 92.03 91.53 92.01 90.64 89.94 90.74 89.47 91.11 90.27
373 372 32 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 90.39 91.40 89.71 90.50 91.31 90.05 90.14 89.57 90.35 90.69 89.83 90.87 91.00 92.07 90.10 91.45 90.70 90.47 91.04 90.43 91.00 89.95 90.45 89.77 90.36 89.59
374 372 32 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 91.27 92.17 90.31 92.62 89.75 89.68 90.66 91.08 91.80 89.98 91.15 91.00 90.69 90.49 90.18 91.35 90.86 90.95 91.19 90.84 90.26 88.86 89.80 89.95 88.92 88.79
375 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.01 90.30 91.57 92.49 91.07 90.89 91.06 89.36 90.73 90.41 90.62 90.39 91.64 91.49 91.10 92.92 91.95 92.75 91.54 92.25 92.30 90.12 89.62 90.15 90.04 89.40
392 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 90.38 90.96 90.03 91.43 91.05 91.00 90.18 90.27 91.32 89.70 91.44 90.33 91.55 90.03 90.56 91.28 91.02 91.45 91.81 92.14 90.47 89.75 90.37 89.20 90.39 90.03
393 372 32 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 90.40 90.25 89.79 91.19 91.16 91.14 90.06 90.45 90.08 89.57 91.41 90.35 91.89 91.09 89.16 91.37 91.17 92.56 91.52 91.11 90.27 89.28 90.36 89.24 90.52 90.93
394 372 32 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 88.37 89.97 90.17 91.46 90.83 90.73 90.88 90.54 91.95 89.83 90.78 91.05 91.00 89.84 91.74 90.48 90.24 91.72 91.26 90.13 90.21 89.15 90.04 88.93 89.70 90.28
395 372 32 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 88.70 90.12 90.67 91.82 90.13 89.81 90.03 91.20 90.24 90.05 90.86 90.66 90.56 90.64 91.42 89.44 91.12 91.66 90.54 91.24 89.56 90.36 89.79 89.44 90.26 88.85
412 372 32 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 90.71 89.48 89.67 89.53 90.14 90.10 90.38 91.09 89.35 90.57 91.64 91.13 91.02 89.81 90.59 92.36 91.18 90.70 90.66 91.46 90.99 90.18 90.45 89.87 90.73 89.63
413 372 32 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 89.36 90.63 91.30 91.70 90.86 91.23 90.50 90.58 90.56 90.53 91.08 89.82 91.56 90.29 90.73 90.57 90.72 92.00 90.87 90.46 89.80 91.15 88.26 90.95 90.61 90.65
414 372 32 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 89.07 92.03 90.27 90.08 89.75 91.39 89.33 90.97 90.84 89.21 90.76 91.52 91.49 91.63 90.66 91.43 90.41 91.73 90.82 90.11 88.67 89.27 90.12 90.56 90.83 89.49
415 372 32 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 90.38 90.65 90.24 90.92 90.33 91.78 90.33 91.53 90.52 89.73 91.25 90.89 91.86 90.42 90.74 91.10 90.26 91.15 90.46 90.14 90.39 90.88 90.37 88.58 89.97 89.90
432 372 32 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 91.76 90.55 90.50 91.21 91.98 90.20 90.65 90.05 90.64 91.58 90.25 91.40 90.31 89.41 91.47 90.95 91.65 90.80 90.87 91.53 90.14 88.47 89.25 88.87 89.94 89.36
433 372 32 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 90.98 90.08 90.64 91.13 90.43 89.81 89.94 90.76 90.73 91.40 89.08 90.11 89.99 91.01 89.73 91.82 90.46 91.65 90.20 90.82 90.15 89.12 91.04 90.18 89.97 89.49
434 372 32 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 89.31 91.43 89.70 91.95 91.17 90.62 90.73 91.32 90.38 91.34 90.56 90.48 91.94 89.94 90.71 91.00 90.91 90.80 91.21 92.02 90.70 90.49 88.38 90.05 88.65 88.90
435 372 32 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 90.70 91.29 89.30 91.33 91.27 89.76 91.18 91.10 92.46 90.43 90.23 89.71 90.89 90.58 91.45 90.94 90.96 90.64 90.30 90.58 89.79 89.51 88.79 90.47 90.68 89.01
452 372 32 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 90.14 89.74 90.70 90.55 90.78 89.81 91.54 90.89 90.51 90.72 90.54 91.46 90.80 91.12 89.13 92.04 89.64 89.97 91.28 90.45 88.83 90.11 89.55 89.27 88.96 89.27
453 372 32 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 89.57 91.15 89.66 91.18 91.36 90.68 90.12 91.20 89.49 89.85 89.58 91.51 91.00 90.86 89.06 91.27 91.50 90.79 90.24 91.82 91.05 89.05 88.82 88.02 89.86 90.77
454 372 32 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 89.02 89.42 90.41 90.00 90.00 89.77 90.70 90.17 90.68 89.44 89.98 89.90 90.31 90.35 89.29 90.80 90.98 90.42 91.93 89.73 88.72 89.59 89.04 88.90 90.58 89.03
455 372 32 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 89.59 90.29 89.98 89.36 92.46 90.00 89.83 90.39 89.91 91.00 90.32 90.38 91.61 89.60 90.99 90.64 90.01 91.06 90.20 91.27 90.57 89.88 88.97 89.35 90.17 89.66
472 372 32 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 89.20 89.49 90.32 90.60 89.78 91.60 89.39 90.30 90.82 90.17 91.17 90.86 91.50 90.03 90.21 92.56 88.74 90.86 90.15 90.01 89.51 89.58 88.76 88.75 92.42 89.79
473 372 32 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 89.43 90.63 89.84 90.11 90.45 90.51 89.63 89.96 89.77 89.68 90.56 90.66 89.72 89.46 90.26 90.48 89.21 91.34 90.06 90.39 89.36 89.74 87.44 88.79 89.50 89.94
474 372 32 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 90.39 89.81 89.69 90.50 89.74 88.79 89.51 90.96 91.11 90.15 90.18 90.45 90.52 88.24 89.01 89.54 90.10 90.78 89.13 89.81 89.10 90.06 87.17 88.11 89.46 88.54
475 372 32 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 89.65 91.05 89.81 89.76 90.22 90.28 90.35 91.66 90.90 90.61 90.22 90.71 89.45 90.21 90.92 90.38 91.23 89.89 89.69 90.61 89.99 90.41 90.36 88.78 91.26 89.21
492 372 32 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 90.52 91.80 91.70 89.46 90.49 90.49 90.74 89.74 90.20 90.79 90.76 90.49 90.42 89.94 91.42 90.65 89.61 90.31 91.70 90.52 89.16 89.88 88.75 89.56 90.52 88.49
493 372 32 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 90.85 91.30 91.32 92.51 91.26 91.22 91.45 90.01 90.91 89.67 90.45 90.62 92.06 91.58 89.41 90.97 90.43 90.51 91.21 90.39 89.07 89.44 89.74 88.87 90.07 90.33
494 372 32 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 90.55 90.98 90.41 91.30 90.99 90.62 89.85 90.42 90.36 91.97 89.71 91.39 90.98 89.58 89.46 92.11 91.49 91.36 91.02 91.98 89.53 88.64 89.05 87.87 89.20 90.32
495 372 32 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 89.85 90.58 90.91 90.70 91.87 89.89 90.43 89.22 91.20 90.06 90.98 91.33 91.52 91.05 90.70 91.05 91.04 91.30 90.99 90.37 88.94 89.01 90.45 89.33 90.15 88.09
512 372 32 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 89.52 91.19 90.48 91.11 90.46 92.45 90.88 90.74 89.70 90.20 89.69 90.91 90.27 89.95 89.05 90.73 91.08 90.81 90.82 90.73 89.66 89.65 90.69 89.05 89.79 88.83
513 372 32 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 90.72 92.16 91.46 90.83 90.97 90.25 88.73 90.63 90.07 90.50 90.29 90.68 89.79 89.47 89.54 90.12 89.41 90.75 91.47 90.76 88.81 89.55 89.23 89.36 89.68 88.47
514 372 32 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 89.89 90.00 90.44 90.79 90.31 89.76 90.36 89.52 90.16 90.86 89.62 91.43 91.43 90.51 90.12 90.68 90.25 90.72 91.95 90.91 89.57 89.90 89.18 90.44 90.10 89.56
515 372 32 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 89.96 91.00 90.21 91.69 91.58 90.09 90.46 90.48 90.03 89.97 90.64 90.36 90.25 91.05 90.67 90.69 90.41 91.11 92.01 89.74 90.46 90.09 88.82 87.77 89.55 89.92
532 372 32 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 88.21 89.64 91.06 91.35 91.51 90.65 90.89 90.57 90.91 90.61 90.65 90.56 90.21 89.21 90.44 90.37 91.46 90.20 90.67 90.02 89.08 89.66 89.39 89.31 90.64 89.52
533 372 32 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 89.99 89.50 90.53 90.01 90.54 90.27 90.15 90.90 89.11 90.27 89.95 90.33 89.46 89.35 90.06 89.46 89.39 90.40 89.73 89.84 89.16 90.01 87.62 89.43 88.55 88.95
534 372 32 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 89.42 90.67 90.24 89.91 89.64 89.89 90.24 91.32 90.63 89.77 90.70 90.55 89.09 89.87 76.18 91.37 89.31 90.31 89.93 90.62 88.62 89.13 86.63 89.57 89.28 89.08
535 372 32 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 88.57 91.21 89.19 89.55 89.77 89.39 90.40 90.89 90.47 90.36 89.91 90.38 88.40 90.31 90.86 89.66 90.38 90.24 89.71 90.57 89.87 89.04 87.67 89.09 90.01 89.36
552 372 32 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 89.81 90.14 89.91 91.41 90.99 89.79 90.33 90.37 90.04 90.40 90.21 91.14 92.21 91.86 90.54 90.76 90.97 91.77 91.24 91.28 90.48 91.27 90.13 88.85 90.33 89.98
553 372 32 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 90.05 91.47 90.51 91.96 90.96 89.86 89.89 90.34 91.10 90.66 89.96 90.47 90.79 91.37 91.20 90.45 91.29 91.13 91.06 89.83 89.54 89.54 90.36 89.15 90.66 89.29
554 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 91.75 90.64 91.36 91.45 91.75 91.20 91.25 90.17 90.98 89.98 90.54 91.38 91.75 90.31 91.51 89.48 91.03 91.22 91.14 91.56 90.64 89.42 88.73 89.92 90.82 89.40
555 372 32 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 90.47 92.06 90.43 92.08 91.07 90.59 90.74 90.69 90.34 91.41 90.55 90.88 91.20 90.12 90.13 91.73 91.06 90.77 90.66 90.81 89.77 89.75 89.27 90.10 89.56 89.74
572 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 91.02 89.65 90.94 92.48 90.98 91.04 89.92 91.06 90.44 90.19 90.91 90.66 92.68 90.84 90.02 91.31 90.20 90.52 91.25 91.03 90.49 90.69 90.09 89.53 91.09 89.77
573 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 89.20 91.69 91.45 90.34 90.87 91.99 91.95 90.83 91.10 90.28 90.25 92.00 91.23 91.03 91.37 91.72 92.25 91.86 91.65 90.60 89.70 89.53 90.03 90.51 90.88 88.93
574 372 32 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 89.12 91.10 89.71 91.75 91.33 91.55 91.04 90.57 89.99 90.98 90.59 90.33 90.75 90.77 91.70 90.31 91.20 90.19 90.88 91.32 91.23 88.93 89.28 90.63 89.71 90.18
575 372 32 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 90.61 90.70 90.78 90.54 91.25 90.50 90.41 90.94 90.37 90.47 90.36 90.94 92.04 90.93 90.07 91.43 90.59 91.03 90.80 90.53 90.54 90.22 90.04 89.79 90.43 89.40
592 372 32 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 90.67 90.97 89.92 91.37 90.59 91.12 90.20 90.67 89.99 90.19 90.89 91.01 91.00 90.27 90.88 91.00 90.23 90.94 90.18 90.38 88.10 89.59 89.68 90.21 90.73 89.87
593 372 32 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 91.04 90.60 90.39 90.83 91.59 90.64 90.74 90.68 90.65 89.23 90.87 90.72 92.37 90.85 90.61 89.94 89.82 90.18 90.72 90.62 89.45 90.11 89.87 88.74 91.24 89.54
594 372 32 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 90.76 91.29 90.05 91.79 90.26 91.42 91.28 90.06 90.10 88.22 89.75 89.88 90.54 91.26 90.42 90.66 91.40 90.25 91.09 90.34 91.74 90.30 90.44 89.60 90.04 90.87
595 372 32 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 89.85 90.93 89.95 90.25 90.23 89.11 90.46 90.59 90.31 89.45 91.56 90.93 91.05 90.68 90.31 90.82 91.05 91.22 91.12 91.85 90.50 90.44 87.81 90.52 90.23 90.49
612 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 90.00 91.92 89.37 91.29 91.53 91.64 92.37 90.38 90.44 90.78 90.84 91.29 91.31 89.98 92.36 90.55 90.54 90.77 90.28 90.69 90.33 89.57 91.47 89.48 90.19 88.67
613 372 32 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 90.15 91.66 89.89 89.76 91.65 90.95 91.20 90.71 90.90 91.27 90.48 90.58 91.45 90.41 89.57 91.52 90.93 91.44 91.11 90.85 88.75 88.48 89.75 89.59 89.61 89.97
614 372 32 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 88.97 91.23 88.98 91.09 89.85 90.33 91.34 90.63 90.11 90.74 89.85 90.53 90.71 89.61 89.52 90.78 90.38 91.61 90.26 90.64 89.05 89.76 89.99 87.96 89.79 89.89
615 372 32 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 91.27 91.67 89.84 91.93 90.89 91.22 91.32 89.71 89.82 90.71 90.24 90.60 91.15 90.90 89.38 91.15 90.03 91.54 90.57 91.85 89.52 89.23 91.02 88.81 89.03 88.26
632 372 32 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 90.51 89.77 90.58 91.17 90.65 90.39 90.63 91.01 90.19 90.77 90.78 90.37 91.03 91.08 91.05 91.49 91.44 90.87 90.57 91.35 88.42 90.55 89.23 88.81 90.66 90.59
633 372 32 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 90.03 90.80 90.15 91.45 90.84 90.02 90.88 90.34 90.24 91.46 90.04 90.46 91.42 89.39 89.85 90.16 91.44 90.88 91.10 91.15 89.64 87.91 89.93 88.85 88.38 90.59
634 372 32 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 89.43 90.71 90.88 91.52 90.67 89.91 90.39 89.63 90.52 90.09 90.95 91.19 90.43 90.28 89.64 90.88 90.50 90.68 89.97 90.38 89.44 89.66 90.81 88.12 88.96 89.39
635 372 32 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 91.72 90.05 89.04 91.42 91.85 90.96 90.56 90.13 90.63 90.12 90.82 91.50 91.61 90.11 90.23 90.75 91.24 90.34 90.52 92.68 89.01 89.66 89.55 90.40 91.30 89.92
652 372 32 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 89.70 90.67 90.11 90.67 90.07 89.84 90.10 90.86 91.46 90.20 90.79 90.19 89.87 89.88 90.05 90.50 89.86 90.28 90.30 91.07 89.92 89.82 90.47 89.67 89.42 88.46
653 372 32 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 90.49 90.63 90.11 91.06 90.66 90.57 91.11 89.97 89.59 90.84 89.60 90.62 90.79 90.35 90.06 91.29 90.50 90.91 89.46 89.72 89.61 89.18 88.42 89.61 89.13 89.44
654 372 32 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 90.12 89.94 90.60 89.80 91.64 90.03 89.98 90.91 90.89 90.11 90.49 89.86 91.32 90.26 89.09 91.19 90.51 91.35 90.16 89.33 90.68 91.62 87.85 89.12 89.30 90.93
655 372 32 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 89.94 90.32 90.09 89.93 89.87 89.52 90.51 91.23 90.28 89.39 90.85 90.00 90.12 90.02 89.60 90.77 91.58 90.48 90.63 89.97 89.45 90.51 88.32 89.14 89.22 89.49
672 372 32 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 91.18 91.69 90.98 91.08 91.33 90.45 91.31 89.77 90.21 90.69 90.24 91.00 92.15 91.98 90.29 91.35 91.15 90.89 90.51 90.45 88.84 88.51 88.93 88.69 90.98 90.42
673 372 32 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 91.02 91.40 90.59 90.30 90.20 89.43 91.16 89.94 91.67 90.74 90.71 90.13 90.16 90.64 90.79 89.81 91.85 91.19 91.08 90.34 89.27 90.37 90.08 89.17 89.19 88.53
674 372 32 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 89.74 91.50 90.54 91.23 89.69 89.37 90.96 91.50 90.67 91.50 91.44 90.14 90.21 91.73 89.97 92.24 91.11 91.19 90.05 90.22 87.82 89.55 89.02 88.63 89.24 90.05
675 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 91.33 92.57 90.36 89.78 91.66 90.59 90.68 90.10 90.62 90.86 90.72 90.25 91.34 90.86 88.92 91.57 90.79 91.19 90.60 92.60 89.45 89.23 91.11 89.35 90.39 89.73


input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
12 372 32 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 94.34 94.72 94.24 94.62 93.58 94.74 95.85 95.94 93.45 94.49 94.81 93.43 95.31 95.42 94.39 94.81 94.85 94.63 94.03 94.40 95.13 94.66 93.97 93.90 94.43 94.14
13 372 32 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 93.86 93.16 93.72 94.48 93.79 94.33 93.60 94.68 93.92 93.07 93.81 94.31 94.85 94.57 93.48 94.55 94.43 93.83 94.12 94.41 94.29 94.46 94.28 94.57 94.63 93.67
14 372 32 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 94.02 94.75 93.70 93.73 94.48 49.17 93.25 94.34 94.56 94.47 95.52 93.95 94.68 93.63 94.07 94.90 94.98 95.53 94.46 93.23 95.58 95.38 94.36 94.86 94.44 94.63
15 372 32 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 94.41 49.17 94.27 93.75 93.52 92.71 93.72 93.19 93.34 95.08 94.24 94.84 94.58 93.67 94.35 94.01 93.77 94.56 93.18 92.46 94.83 94.20 93.83 93.37 94.52 93.84
32 372 32 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 94.86 94.95 94.69 93.82 94.05 93.22 94.32 94.08 94.01 94.92 95.28 94.76 94.54 95.24 94.34 49.17 95.45 95.30 94.94 94.56 95.28 94.77 94.75 94.28 94.20 93.99
33 372 32 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 94.46 95.28 94.31 93.21 93.64 92.92 94.70 95.00 94.80 95.20 95.00 93.43 93.78 95.12 95.04 95.41 94.87 94.30 94.71 93.75 95.12 94.78 94.37 94.68 94.96 95.15
34 372 32 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 95.27 93.01 95.39 94.95 94.62 94.31 94.43 93.43 49.17 95.61 93.29 93.96 94.54 95.60 93.83 95.27 94.76 94.89 49.17 94.30 95.44 95.51 93.05 94.19 94.35 94.67
35 372 32 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 95.68 94.86 95.11 94.07 95.27 93.81 95.72 94.62 95.26 94.44 94.92 94.44 94.57 95.09 93.66 95.22 95.29 94.11 94.71 95.29 94.54 94.61 95.56 95.32 95.28 94.98
52 372 32 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 95.29 94.46 96.06 93.11 94.77 94.56 94.10 93.96 94.60 95.15 94.71 93.64 94.95 95.52 94.82 94.92 94.90 94.19 94.79 94.15 95.64 95.11 49.17 94.67 93.48 94.17
53 372 32 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 95.83 95.09 94.04 94.52 95.42 94.47 95.58 94.54 95.33 94.03 94.62 94.99 95.60 94.65 94.28 94.12 94.68 95.03 93.62 94.76 94.07 95.69 94.85 94.37 93.73 95.58
54 372 32 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 95.30 93.67 94.98 93.67 94.62 93.60 93.77 94.43 94.86 94.38 94.55 94.99 94.70 95.06 93.81 94.82 95.48 93.63 95.01 94.46 95.03 94.80 93.37 94.56 94.89 93.21
55 372 32 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 94.01 94.71 93.88 94.33 95.39 92.44 95.04 93.82 94.83 94.66 93.56 94.58 94.56 93.87 94.12 94.63 95.07 94.83 93.16 94.89 95.35 94.53 95.38 95.38 94.30 94.29
72 372 32 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 93.38 94.11 93.15 93.25 94.41 93.63 94.51 95.55 94.77 95.49 93.66 93.59 94.47 93.55 94.60 95.61 95.39 94.73 93.29 94.54 94.89 95.42 95.13 93.46 95.51 94.65
73 372 32 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 94.14 94.55 94.27 49.17 94.27 93.82 94.22 93.74 49.17 93.86 94.42 94.36 94.85 93.96 93.87 94.83 94.78 94.06 93.75 94.06 94.64 93.77 95.68 93.69 95.05 94.26
74 372 32 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 93.97 93.77 92.70 92.98 92.72 92.77 92.31 93.29 93.10 93.83 93.75 93.19 95.06 94.10 94.17 93.83 93.76 94.12 93.56 94.64 94.41 93.11 94.81 94.06 94.47 93.61
75 372 32 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 93.37 93.29 94.33 94.42 93.78 93.09 93.20 94.81 93.92 93.36 94.23 93.78 94.33 93.67 95.04 95.33 95.27 93.54 92.99 94.63 95.02 94.25 95.78 94.86 95.21 94.91
92 372 32 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 93.71 94.03 94.69 93.79 93.72 94.30 93.57 94.14 93.09 94.19 95.41 94.24 94.83 94.00 93.89 93.63 95.35 94.76 93.91 94.21 94.40 94.34 94.60 95.07 96.02 92.98
93 372 32 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 94.03 93.66 94.46 93.72 94.75 94.18 93.88 94.82 92.80 93.60 93.53 93.33 94.60 93.96 93.10 93.84 95.23 92.44 93.68 94.46 95.17 95.36 95.29 94.05 94.97 94.33
94 372 32 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 94.46 95.10 94.38 94.72 93.43 93.52 94.38 94.18 94.33 95.07 93.79 94.54 94.33 93.13 94.59 93.31 94.51 95.38 94.21 93.97 94.54 95.46 96.17 95.12 94.67 94.63
95 372 32 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 94.07 94.80 95.23 93.80 94.31 94.49 93.73 94.10 94.74 94.47 94.69 94.36 93.41 93.44 94.26 95.28 93.14 93.83 94.70 94.53 94.85 95.29 94.52 93.31 94.59 94.55
112 372 32 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 93.83 94.71 94.99 94.00 93.39 93.50 94.49 93.84 95.29 94.10 93.97 94.70 94.83 94.73 94.29 94.29 93.59 94.11 95.00 94.39 94.36 95.56 95.96 93.61 95.04 93.66
113 372 32 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 94.52 94.37 94.99 93.78 93.27 94.97 94.88 94.33 94.12 93.21 95.42 93.34 94.61 94.46 93.82 94.26 95.18 94.37 94.40 94.49 94.64 94.96 94.34 94.52 95.08 94.56
114 372 32 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 93.19 94.09 93.83 94.77 94.96 95.05 94.44 93.12 94.92 93.95 95.08 93.23 92.54 93.13 93.27 94.06 95.07 94.26 93.76 94.13 96.34 93.42 94.97 92.90 95.17 93.59
115 372 32 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 94.07 94.83 93.38 93.39 94.18 94.51 93.38 94.54 94.14 93.80 94.03 94.74 94.43 93.94 93.55 94.73 94.45 93.21 95.27 94.32 94.65 95.28 94.47 95.17 95.58 93.91
132 372 32 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 92.97 94.20 94.09 93.90 93.49 93.28 93.89 93.16 93.35 94.04 92.83 93.87 94.19 93.22 93.92 94.54 92.99 92.06 92.27 94.24 95.09 94.16 94.03 94.22 93.98 94.11
133 372 32 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 94.30 93.58 93.24 93.83 49.17 92.57 93.91 93.74 94.13 92.24 92.82 92.97 94.10 95.07 92.24 92.70 94.59 94.14 94.64 94.27 93.72 95.17 49.17 93.50 94.63 94.65
134 372 32 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 94.40 91.44 94.28 92.56 92.88 91.74 95.34 94.41 94.55 94.48 95.29 93.46 92.59 95.17 93.77 94.28 94.13 93.92 94.98 94.58 95.23 94.85 94.72 94.11 94.81 94.74
135 372 32 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 93.77 93.29 94.45 91.92 93.39 92.44 93.84 92.25 91.51 95.02 93.64 93.46 94.60 95.24 94.62 94.58 93.73 93.12 93.54 92.11 94.13 94.55 95.90 93.14 93.80 94.41
152 372 32 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 95.94 94.75 94.25 49.17 94.82 90.44 92.71 93.59 92.63 94.33 94.29 92.21 94.07 94.88 95.49 93.59 95.36 94.34 93.54 93.82 94.98 95.06 95.79 94.55 96.50 94.81
153 372 32 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 93.79 95.05 94.63 94.85 93.62 89.97 93.95 92.43 92.23 93.68 92.93 93.13 94.17 94.31 94.38 92.92 93.75 94.83 94.31 92.33 94.04 94.39 94.95 94.48 95.71 94.17
154 372 32 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 94.31 94.05 94.38 93.21 93.78 92.97 93.90 49.17 93.49 94.90 93.56 92.83 94.77 94.78 92.78 93.58 94.96 92.26 94.37 93.58 95.02 95.10 94.57 95.62 95.20 94.00
155 372 32 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 94.60 94.90 95.15 93.23 94.72 94.12 94.52 93.62 94.33 93.18 93.60 93.63 95.63 95.27 93.62 93.45 92.47 94.73 93.88 93.88 94.67 95.12 94.68 94.81 94.61 93.60
172 372 32 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 94.37 94.39 95.86 92.95 94.12 94.36 94.40 94.48 93.82 93.37 92.61 91.28 93.32 93.56 92.62 95.42 91.96 92.48 93.68 93.71 94.79 94.45 94.10 95.30 94.43 94.62
173 372 32 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 94.95 93.86 95.27 92.82 93.41 93.45 92.32 93.95 93.61 92.09 92.39 92.11 93.23 93.80 94.52 94.58 94.08 91.35 91.54 93.15 94.44 94.20 93.90 94.79 94.05 94.15
174 372 32 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 93.91 93.07 94.31 92.99 93.01 92.61 94.64 92.97 91.74 94.81 93.54 92.36 95.13 93.35 92.30 92.08 94.22 92.01 93.55 94.10 95.95 94.62 94.30 94.64 95.37 94.30
175 372 32 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 90.58 93.44 94.22 92.64 95.07 95.39 93.48 94.88 91.68 94.19 93.29 91.55 92.93 93.66 93.23 92.67 94.73 92.80 93.05 94.46 95.05 94.39 94.48 94.70 93.75 94.29
192 372 32 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 49.17 94.92 93.79 92.81 94.91 94.67 94.21 95.51 49.17 93.92 95.47 94.66 94.29 94.75 94.21 95.68 94.70 95.83 95.37 95.16 94.30 94.63 95.07 94.87 93.92 94.84
193 372 32 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 95.01 94.97 92.55 94.80 94.67 93.24 94.51 94.34 94.33 93.90 94.01 95.17 94.00 94.87 93.07 95.39 93.37 94.07 94.76 95.14 95.14 95.63 94.27 94.96 94.62 94.79
194 372 32 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 94.81 94.53 94.48 94.53 94.69 94.15 94.30 95.27 94.99 94.79 94.76 95.31 95.64 94.14 93.74 93.47 94.62 93.60 95.05 94.93 95.40 94.65 94.36 94.75 95.02 93.95
195 372 32 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 94.73 93.60 95.08 94.59 93.60 94.32 94.00 93.43 94.17 95.07 94.78 94.58 95.38 95.11 94.49 94.18 95.10 94.92 93.49 95.04 94.53 95.57 94.78 94.62 95.14 93.78
212 372 32 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 93.63 94.07 94.28 94.41 94.18 93.78 94.81 95.08 94.17 94.58 94.49 93.93 93.84 94.40 94.35 95.07 95.61 94.51 94.31 93.70 95.31 94.83 94.98 93.41 93.65 93.94
213 372 32 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 94.18 95.91 93.82 94.43 94.20 93.51 93.96 93.98 94.52 94.68 95.93 93.69 94.72 95.54 93.23 94.42 95.54 96.04 94.59 94.47 93.89 94.01 95.21 95.16 95.33 91.51
214 372 32 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 95.11 93.36 94.55 94.67 95.58 92.98 94.05 93.05 95.43 94.99 94.18 93.46 94.65 95.30 94.50 94.82 94.70 93.14 93.85 95.02 94.79 94.67 94.47 94.00 95.14 93.75
215 372 32 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 93.44 94.63 95.68 93.45 94.92 93.78 94.50 94.11 94.92 94.36 94.89 94.25 94.43 94.14 92.83 94.76 93.72 94.54 94.31 94.41 95.52 94.68 94.70 94.32 94.85 95.23
232 372 32 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 95.02 94.86 95.52 94.03 94.51 94.23 93.97 94.05 93.90 49.17 93.97 93.08 94.21 94.51 93.39 94.65 95.33 94.14 93.65 93.91 95.07 93.43 94.69 95.19 94.59 93.72
233 372 32 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 94.99 94.69 94.61 93.99 94.96 92.49 94.07 93.79 94.42 92.67 94.15 94.30 94.68 94.66 92.79 95.80 95.07 95.01 93.57 94.35 94.28 94.22 94.68 94.47 94.26 93.52
234 372 32 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 94.42 94.06 95.52 94.58 95.14 92.35 95.21 92.82 95.14 93.83 93.89 95.04 94.65 94.04 94.58 94.05 94.39 95.67 93.16 93.71 94.71 94.16 94.39 94.61 95.06 93.35
235 372 32 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 94.24 94.97 95.39 94.81 94.14 93.27 94.03 94.36 95.02 94.56 93.31 94.30 94.61 94.80 93.20 94.17 93.97 95.27 93.71 94.15 95.07 94.03 94.20 94.89 93.96 94.38
252 372 32 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 95.30 94.82 94.73 94.45 94.34 94.16 95.16 94.46 93.42 94.04 94.80 94.73 94.91 94.32 95.00 94.62 94.98 94.09 94.13 95.95 95.50 94.39 94.27 93.84 95.07 95.70
253 372 32 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 94.55 95.68 93.01 95.89 94.03 94.41 94.11 95.72 94.63 94.46 93.80 93.25 94.54 94.09 92.90 95.02 94.10 94.96 93.66 94.53 95.00 94.63 95.93 95.91 95.55 95.14
254 372 32 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 93.62 94.05 92.94 95.08 93.40 95.12 94.52 92.81 93.84 95.11 94.66 92.80 93.13 93.12 93.05 94.21 95.25 94.03 93.71 92.73 93.90 95.23 95.57 94.92 94.44 94.54
255 372 32 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 93.42 94.48 94.27 94.42 93.90 94.29 94.73 94.18 94.97 94.30 93.03 94.23 94.65 93.95 94.85 96.02 94.09 94.92 95.20 94.44 93.86 94.71 95.19 95.17 94.39 94.88
272 372 32 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 94.63 95.72 94.84 93.89 93.12 93.91 93.85 95.20 95.15 94.37 94.44 94.46 93.97 94.86 94.60 95.25 95.37 95.05 94.56 94.46 95.77 93.89 94.97 94.63 95.18 93.91
273 372 32 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 95.37 95.21 96.00 94.14 95.49 94.64 94.63 94.33 93.87 94.42 95.58 93.93 93.90 95.18 94.72 94.60 95.29 94.83 94.47 94.21 95.48 95.57 95.82 94.91 93.73 94.03
274 372 32 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 94.42 94.39 94.18 95.08 94.24 94.34 92.90 92.84 94.40 93.83 94.96 92.76 93.91 94.99 94.52 94.06 94.53 94.50 93.27 94.46 94.66 95.51 93.95 93.85 95.07 93.49
275 372 32 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 94.55 95.51 94.49 95.21 94.01 93.92 94.42 93.77 92.03 94.49 93.96 94.25 94.67 94.73 93.41 94.11 95.49 94.84 94.64 94.49 95.51 95.31 95.22 93.57 95.05 94.66
292 372 32 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 94.60 95.12 95.16 93.16 95.72 94.01 94.32 95.51 94.99 93.98 94.35 92.75 94.31 94.60 93.23 94.63 95.06 94.03 95.15 95.32 95.15 94.22 94.86 94.66 94.43 94.53
293 372 32 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 95.83 93.80 94.99 93.26 94.72 94.58 94.64 93.56 93.14 94.84 93.14 94.36 94.34 94.27 94.69 92.93 93.02 95.65 94.31 93.75 95.02 94.67 94.97 94.04 94.36 94.07
294 372 32 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 95.47 94.41 94.49 93.71 93.84 94.12 94.80 94.90 94.72 92.67 93.30 93.83 94.53 94.42 94.43 93.55 93.38 94.04 93.31 94.42 95.24 94.16 95.84 95.67 94.59 94.35
295 372 32 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 94.65 93.98 93.93 93.90 94.78 93.72 95.00 94.99 93.91 93.88 92.95 93.32 94.37 92.69 93.15 95.04 95.06 93.50 93.66 93.24 94.86 95.79 96.07 94.21 94.63 94.26
312 372 32 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 93.24 91.11 92.96 92.55 92.83 92.92 91.19 94.14 93.14 93.50 92.89 94.46 93.20 94.49 92.90 93.09 92.57 92.22 93.42 91.42 95.07 94.69 91.48 95.32 94.43 92.95
313 372 32 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 92.47 95.72 93.88 92.21 92.71 92.05 92.73 92.55 92.79 92.75 93.16 92.19 93.12 93.62 93.52 94.07 94.41 93.00 93.24 92.98 94.00 93.62 95.19 94.02 95.10 93.62
314 372 32 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 94.17 93.47 93.95 94.25 92.40 93.23 94.22 93.86 91.28 94.43 93.85 94.42 93.98 94.65 92.42 94.68 93.28 93.18 93.80 94.25 94.40 95.51 95.35 94.18 95.11 93.44
315 372 32 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 93.79 94.11 94.01 93.30 92.50 93.12 92.54 92.85 93.61 94.56 94.90 95.34 93.31 93.44 93.96 94.59 94.89 92.39 94.14 93.35 94.30 93.73 94.97 94.75 94.29 94.23
332 372 32 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 95.64 94.41 95.83 94.58 95.06 94.22 93.36 91.71 92.46 94.32 93.44 93.98 94.27 94.51 92.88 92.61 94.06 93.83 93.77 94.09 95.09 94.90 95.91 93.95 94.89 93.80
333 372 32 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 95.62 93.57 95.11 93.66 92.78 95.00 95.48 93.56 94.06 93.00 95.10 93.37 93.15 94.81 93.92 94.22 94.02 94.46 92.53 94.62 94.40 95.95 95.91 93.96 95.38 94.47
334 372 32 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 94.07 94.81 94.84 94.45 93.22 94.13 93.96 95.23 91.55 93.52 92.96 93.89 95.07 95.59 93.57 93.86 94.56 93.36 93.62 94.37 95.05 95.52 94.52 94.99 93.87 94.72
335 372 32 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 93.86 94.91 94.81 94.22 95.39 94.12 93.73 94.31 94.41 93.48 93.73 92.55 94.09 95.26 94.01 94.28 94.69 93.74 94.40 93.42 94.26 94.24 94.02 95.31 94.87 93.24
352 372 32 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 95.14 94.07 92.82 93.09 93.43 49.17 92.47 92.61 93.97 93.93 93.45 92.60 93.58 93.11 92.67 93.47 93.11 92.97 93.15 94.59 94.58 94.88 95.32 94.29 94.96 93.22
353 372 32 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 94.30 94.85 92.61 94.61 95.63 92.49 93.27 93.57 90.77 95.03 93.40 92.91 94.21 94.79 92.99 93.80 94.17 93.24 91.68 93.13 94.69 93.84 94.79 94.60 93.74 94.43
354 372 32 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 94.91 92.67 95.25 92.79 94.46 93.45 92.32 93.90 93.42 94.19 92.07 93.72 93.90 93.47 93.75 94.49 94.68 92.69 93.70 93.49 94.37 95.65 95.29 94.51 92.48 94.15
355 372 32 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 94.23 94.13 94.99 94.01 93.47 93.69 93.41 94.10 94.36 93.27 93.97 94.33 94.91 92.87 91.26 93.51 93.23 93.02 92.19 93.47 94.71 95.53 95.27 92.93 95.24 94.65
372 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 92.62 93.94 92.96 93.84 92.92 93.11 92.22 93.02 91.88 93.04 92.81 92.22 92.47 92.03 92.54 92.18 93.41 91.85 92.68 91.51 93.00 92.05 93.15 92.29 92.48 92.10
373 372 32 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 91.46 93.25 93.56 92.98 92.79 92.32 92.58 91.03 93.22 93.91 91.56 91.95 93.82 93.10 91.23 93.06 93.14 92.24 93.15 92.45 90.96 92.92 93.78 92.53 92.59 93.26
374 372 32 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 92.17 93.16 92.47 93.82 92.47 92.50 92.80 92.81 92.87 92.95 92.27 93.31 92.69 92.55 92.59 93.93 93.58 93.22 92.59 92.36 93.40 93.58 92.92 93.13 93.22 92.82
375 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.76 94.02 90.67 92.32 92.61 91.57 91.40 89.77 91.09 92.17 93.43 91.84 92.93 93.52 92.39 93.06 92.74 92.84 93.34 93.23 93.96 92.66 93.26 91.98 91.59 91.33
392 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 93.46 92.75 93.54 93.67 93.31 92.80 91.02 91.81 92.33 92.34 92.68 92.57 91.64 93.88 93.00 92.37 92.23 93.73 94.20 91.79 92.77 92.85 92.11 91.32 92.86 92.92
393 372 32 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 93.59 93.29 93.82 93.15 92.85 91.98 92.52 93.10 92.76 92.51 92.65 92.31 93.29 92.68 93.00 92.78 93.63 92.32 92.26 93.43 92.51 93.06 94.07 91.56 92.52 93.35
394 372 32 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 91.93 92.15 93.70 92.61 92.70 93.76 92.47 92.29 92.41 92.60 92.40 93.84 92.18 93.43 92.90 92.47 93.29 93.74 92.96 90.36 92.79 92.00 93.79 92.89 92.97 91.50
395 372 32 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 93.17 93.77 92.97 93.35 91.66 92.28 93.14 93.38 93.49 92.44 93.57 92.42 92.25 93.03 92.90 93.09 92.50 92.91 93.15 92.31 93.56 93.14 93.34 92.62 92.10 91.56
412 372 32 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 92.42 93.33 93.97 92.67 92.62 92.40 92.91 94.02 92.20 92.97 94.56 93.25 93.13 93.43 93.53 94.03 94.04 93.38 93.71 93.78 93.43 92.94 93.09 92.97 91.00 92.58
413 372 32 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 92.04 93.96 93.85 92.33 93.24 94.11 93.27 92.87 93.06 92.18 93.81 93.08 92.98 93.20 92.67 94.28 93.88 94.05 93.43 93.18 92.80 92.56 92.77 94.27 91.92 93.05
414 372 32 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 91.69 93.93 92.31 92.98 91.72 93.33 91.50 93.09 92.53 92.07 93.77 92.98 91.73 92.84 93.16 91.94 92.05 92.36 92.33 92.28 93.86 92.63 92.84 90.28 92.41 91.72
415 372 32 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 92.51 93.35 92.86 93.83 92.44 94.11 91.50 94.62 92.18 93.23 92.15 92.62 92.30 93.17 92.66 93.45 92.21 92.71 93.54 92.14 94.01 93.29 94.13 93.12 92.55 91.32
432 372 32 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 91.65 92.52 93.99 92.58 93.38 89.28 92.35 92.34 92.07 93.10 89.37 92.69 92.22 94.22 93.42 92.85 94.76 94.03 93.55 92.66 93.06 93.42 93.15 92.14 93.40 91.54
433 372 32 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 92.25 92.76 92.95 93.02 92.18 92.00 92.05 90.16 90.96 93.12 92.19 91.95 92.16 92.56 93.84 93.57 93.23 94.76 92.18 89.13 93.81 91.93 93.74 92.11 91.82 91.53
434 372 32 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 92.55 93.58 93.64 93.40 93.41 93.06 92.52 92.23 91.63 91.65 93.24 92.13 92.84 93.58 92.59 93.59 93.61 94.28 92.10 93.73 93.50 93.33 93.82 92.65 90.82 92.31
435 372 32 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 91.74 94.07 92.17 92.26 92.97 92.65 92.54 93.69 91.94 92.74 93.05 91.93 92.08 92.62 93.21 92.80 93.65 93.00 92.11 92.08 93.10 92.70 93.10 92.27 92.28 91.83
452 372 32 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 92.76 93.95 93.86 92.53 93.19 93.49 92.14 92.72 91.28 91.95 93.74 92.46 90.81 93.62 91.62 93.23 93.24 93.63 93.57 93.87 93.71 93.78 93.46 92.87 92.80 90.79
453 372 32 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 91.62 93.72 93.42 92.98 92.65 92.10 92.55 92.80 92.33 92.20 91.59 91.71 92.11 92.28 92.99 93.92 94.30 93.23 91.87 93.49 93.44 92.84 93.87 93.44 92.07 92.98
454 372 32 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 92.49 93.49 92.33 92.40 92.56 92.32 90.97 92.52 92.04 90.87 92.49 91.93 93.17 93.35 92.38 92.40 93.80 92.45 93.97 92.17 93.58 92.77 93.72 92.27 93.50 92.00
455 372 32 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 91.82 92.67 93.15 92.10 92.36 92.48 91.42 92.26 92.14 91.47 92.62 93.69 92.75 92.28 93.47 92.74 93.25 93.18 93.08 92.39 92.60 93.50 92.84 91.18 92.17 92.55
472 372 32 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 91.21 92.24 92.69 92.76 92.30 93.68 92.28 91.57 92.33 91.82 93.65 92.50 92.98 93.01 92.46 92.65 92.98 93.65 93.77 92.88 92.89 93.43 94.17 93.00 94.30 91.97
473 372 32 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 93.12 93.21 92.65 92.52 93.75 93.90 92.72 92.19 91.38 93.48 93.17 92.59 92.58 91.46 92.76 91.75 93.32 92.96 92.96 93.51 93.42 92.02 92.90 93.03 93.19 92.34
474 372 32 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 91.35 93.32 93.76 93.49 91.60 93.47 93.03 92.69 92.54 92.61 93.15 93.40 93.81 92.16 93.74 92.79 93.41 93.75 92.69 93.31 93.97 92.84 93.42 93.41 91.13 92.77
475 372 32 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 92.62 93.24 94.29 93.51 93.00 92.41 92.30 92.61 91.85 93.11 92.57 91.87 92.74 92.88 92.25 92.30 93.05 93.79 92.62 92.58 92.55 92.78 93.89 91.27 94.52 91.32
492 372 32 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 92.29 93.27 92.66 91.83 93.13 90.89 91.03 92.33 91.90 92.22 93.29 91.84 92.78 93.01 92.61 93.51 93.89 89.89 93.28 88.58 94.47 94.47 93.40 92.15 93.07 93.28
493 372 32 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 92.39 92.92 93.00 94.10 91.90 89.60 89.78 91.72 91.89 92.50 92.90 92.35 91.50 93.58 93.22 91.55 93.43 92.96 93.26 92.92 93.15 92.05 93.80 93.13 91.02 91.83
494 372 32 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 91.72 93.22 89.36 94.17 92.93 92.72 91.40 92.69 92.46 92.32 93.14 91.61 89.44 91.60 92.65 94.83 92.46 92.29 91.01 91.17 93.46 92.25 92.45 91.14 92.26 92.95
495 372 32 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 90.99 93.08 93.65 92.42 92.27 91.24 92.48 93.17 91.93 92.67 91.53 92.63 90.83 93.43 91.66 92.52 93.15 93.17 92.98 90.50 92.88 93.31 90.58 92.86 92.81 90.96
512 372 32 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 91.23 93.09 92.25 93.75 92.76 92.71 92.85 93.59 91.92 92.48 92.78 92.23 89.70 89.31 92.77 92.49 92.09 92.84 94.22 92.55 93.68 94.07 93.30 93.80 94.02 91.18
513 372 32 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 92.94 92.47 91.87 93.01 93.36 90.54 92.03 94.17 91.58 92.40 88.66 89.90 92.30 93.00 91.14 92.33 93.66 92.76 91.84 92.72 93.81 91.36 93.88 92.88 93.13 88.18
514 372 32 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 92.03 92.53 94.35 93.21 93.03 88.05 90.19 92.41 92.09 91.83 90.82 90.56 92.62 90.66 93.49 92.40 94.54 92.40 91.23 91.42 92.42 93.20 93.41 93.74 92.73 91.70
515 372 32 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 92.55 93.62 93.45 93.23 92.91 91.83 92.22 91.44 92.48 91.09 90.73 91.31 91.81 93.50 94.33 89.71 94.31 93.07 92.16 92.75 93.99 93.76 92.64 89.06 92.50 90.96
532 372 32 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 89.74 92.51 92.26 92.60 93.27 90.65 93.03 93.35 91.39 93.13 92.29 92.22 91.79 91.92 95.19 93.19 93.82 92.86 89.74 91.80 94.31 93.78 93.00 92.95 94.24 92.42
533 372 32 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 92.26 93.77 92.09 92.21 92.86 91.52 93.10 91.72 92.15 92.75 92.83 91.73 93.43 92.75 93.62 92.77 94.30 92.67 91.63 89.08 94.45 92.36 92.27 92.44 91.97 91.59
534 372 32 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 92.32 93.68 92.68 92.63 92.39 92.89 92.09 92.65 92.49 92.82 93.43 92.69 91.98 93.44 75.84 94.66 93.17 93.53 94.15 91.49 93.69 94.23 93.10 93.36 94.98 92.08
535 372 32 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 90.96 94.08 92.37 91.16 93.28 90.48 92.82 92.80 92.27 91.64 93.49 91.86 92.01 93.27 92.86 92.55 93.86 92.85 91.20 91.33 93.92 92.97 93.77 93.59 91.83 92.14
552 372 32 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 92.13 93.78 93.75 93.08 92.45 92.58 91.39 92.14 92.05 93.88 92.43 92.16 91.93 91.57 92.06 93.30 91.82 93.74 93.94 92.50 93.08 93.43 92.61 91.84 92.32 91.27
553 372 32 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 91.13 92.98 92.50 92.76 93.39 92.35 92.77 92.35 90.59 92.42 91.30 93.02 92.62 92.83 92.19 92.13 92.72 95.05 93.34 91.62 92.20 94.07 94.14 92.57 92.71 93.77
554 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 93.36 92.52 93.55 92.88 92.70 91.46 93.50 91.86 92.25 93.12 92.73 91.13 93.00 93.81 93.76 93.24 93.60 94.03 93.68 92.07 92.78 93.27 92.01 92.48 92.77 90.78
555 372 32 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 93.60 93.78 92.18 93.42 93.22 92.89 93.26 93.60 91.91 93.22 93.52 92.63 93.30 91.64 92.10 93.09 94.20 92.08 93.52 92.48 93.53 93.67 93.71 92.49 91.52 91.69
572 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 92.90 93.01 93.06 93.35 93.14 93.90 92.76 93.45 91.76 92.56 92.55 92.57 92.97 91.85 92.32 93.23 93.05 93.06 93.96 92.62 93.13 94.07 93.38 91.65 92.76 90.69
573 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 92.70 92.71 93.42 93.35 90.99 94.44 93.13 92.82 92.10 92.09 92.71 92.94 93.14 94.15 90.89 92.89 92.98 92.37 93.88 93.37 93.94 92.81 93.36 93.20 93.17 91.36
574 372 32 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 92.44 92.04 94.03 92.82 92.56 94.03 92.80 92.28 91.31 93.44 92.44 92.18 92.29 92.56 92.74 93.60 92.24 91.39 94.32 92.94 93.58 90.95 93.26 92.29 92.40 91.98
575 372 32 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 91.47 92.81 93.43 92.56 91.85 93.08 93.35 93.42 92.94 92.36 93.15 93.75 92.50 93.26 91.77 93.13 92.31 93.46 93.68 92.09 93.24 93.74 93.21 92.09 92.12 91.43
592 372 32 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 92.19 93.87 93.25 93.24 93.20 92.75 93.49 91.92 92.09 93.28 94.29 92.14 92.25 91.99 91.93 92.82 93.01 92.22 93.23 93.55 93.43 92.57 92.72 92.44 93.35 92.04
593 372 32 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 93.37 94.56 93.45 93.41 93.68 92.54 94.19 93.05 92.00 91.15 92.93 92.27 91.80 93.14 92.05 91.83 92.81 92.35 94.22 94.47 93.94 92.85 92.37 93.68 93.49 91.41
594 372 32 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 92.18 93.22 94.00 92.98 93.85 92.29 92.65 91.55 93.36 91.70 92.58 93.36 92.40 92.93 92.38 93.68 92.73 92.43 93.58 92.80 93.49 94.09 95.55 94.02 92.69 93.57
595 372 32 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 92.34 92.17 94.00 93.50 93.83 91.84 93.28 93.32 93.46 92.69 93.80 92.56 93.80 94.37 93.36 92.73 92.30 93.54 92.11 92.59 92.65 93.35 92.80 92.59 93.57 92.41
612 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 91.63 93.28 92.44 92.66 93.12 93.83 92.16 92.06 92.50 92.68 91.79 91.90 92.03 92.79 93.40 92.95 93.27 91.39 93.65 92.89 93.70 92.37 93.40 93.51 92.09 91.98
613 372 32 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 92.15 93.69 93.58 93.83 93.48 92.43 92.04 92.43 93.07 92.50 93.86 89.05 92.19 92.79 93.23 93.55 93.58 92.62 94.59 91.04 93.86 92.61 94.73 92.51 93.02 92.03
614 372 32 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 92.08 93.65 91.12 93.12 92.92 93.79 91.58 91.20 90.34 91.48 90.35 90.74 92.33 92.33 91.34 91.52 93.60 93.78 93.13 93.92 93.14 92.84 92.02 92.24 92.10 91.16
615 372 32 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 92.00 93.59 93.08 93.23 92.68 93.17 92.31 92.68 90.01 91.80 92.04 91.18 91.46 93.59 92.23 91.90 93.45 93.24 92.98 92.70 92.83 92.37 93.10 92.60 92.31 90.88
632 372 32 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 93.01 92.67 92.89 92.29 94.26 92.79 92.10 93.33 93.05 92.30 93.24 92.12 91.49 92.26 94.13 93.30 93.30 93.74 92.41 92.90 93.50 94.29 94.33 93.06 92.08 92.77
633 372 32 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 92.34 93.97 92.53 92.59 94.28 93.30 91.50 92.74 90.80 93.52 92.31 91.89 92.13 93.15 92.58 93.17 93.18 93.91 90.27 92.28 93.43 92.71 93.78 92.11 92.64 92.98
634 372 32 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 91.49 93.25 93.34 93.77 92.43 92.42 91.60 92.05 91.85 92.72 89.98 92.30 92.24 93.12 93.52 93.52 92.92 92.75 92.55 91.48 93.72 92.30 94.19 92.12 93.01 91.55
635 372 32 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 92.64 93.38 92.89 91.82 93.24 93.51 92.72 91.97 92.09 92.41 93.19 92.39 91.84 93.14 92.38 92.43 92.56 93.11 92.98 93.15 93.34 93.14 91.95 93.39 93.26 91.11
652 372 32 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 91.06 92.11 92.21 93.36 92.47 93.92 92.61 92.17 92.71 92.58 93.07 92.39 93.24 93.69 93.06 93.45 93.95 93.38 93.83 92.63 93.42 93.17 94.96 92.20 92.44 91.93
653 372 32 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 94.16 92.59 92.40 93.02 93.15 91.42 92.57 91.28 92.51 93.66 93.09 93.09 92.38 92.28 93.11 94.05 92.43 92.97 91.82 92.67 92.97 93.29 93.85 93.04 92.75 91.49
654 372 32 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 91.48 93.92 93.07 92.51 92.60 92.94 92.97 92.43 91.85 91.63 93.45 91.80 92.68 93.57 93.22 93.62 92.89 92.74 94.48 92.44 94.47 94.72 93.19 93.49 92.03 92.05
655 372 32 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 92.77 92.61 93.63 92.90 92.41 92.28 91.57 93.33 91.91 91.50 93.06 92.55 93.03 93.12 93.39 92.61 93.70 93.96 92.42 93.93 92.90 92.93 94.81 92.32 92.32 93.15
672 372 32 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 92.01 93.22 92.70 91.92 93.40 89.86 93.00 91.07 91.05 91.23 91.46 92.19 88.96 93.16 88.34 93.02 93.36 93.16 92.15 92.34 93.68 92.26 93.61 92.21 92.09 91.74
673 372 32 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 92.11 94.26 91.97 92.50 92.16 90.12 91.73 92.52 91.99 93.27 92.91 92.08 92.44 92.69 90.81 90.69 92.70 93.31 93.21 91.26 93.28 92.61 93.38 92.58 93.69 92.43
674 372 32 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 91.27 92.84 93.20 91.90 93.02 92.66 91.67 90.61 92.33 92.94 91.29 91.20 89.93 92.24 92.70 92.15 92.26 91.31 92.82 92.30 89.83 93.98 90.85 92.63 92.93 92.01
675 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 92.17 93.25 92.97 91.47 93.06 90.37 91.78 92.48 91.42 93.27 91.50 91.28 92.25 91.81 93.65 90.17 93.06 93.71 90.02 92.56 93.18 92.74 92.90 93.01 93.17 91.22
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues = []
pvalues_real = []

for _,index in enumerate(dt_valid_sub.index):
  _, p_value = stats.ttest_ind(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')
  pvalues_real.append(p_value)
  pvalues.append((p_value >= 0.05)*1)

  

dt_valid_sub['pvalues'] = pvalues_real
dt_valid_sub['sig'] = pvalues


dt_valid_sub1 = dt_valid_sub.query('sig == 1')


max_indexx = dt_valid_sub1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
554 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 91.75 90.64 91.36 91.45 91.75 91.20 91.25 90.17 90.98 89.98 90.54 91.38 91.75 90.31 91.51 89.48 91.03 91.22 91.14 91.56 90.64 89.42 88.73 89.92 90.82 89.40
612 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 90.00 91.92 89.37 91.29 91.53 91.64 92.37 90.38 90.44 90.78 90.84 91.29 91.31 89.98 92.36 90.55 90.54 90.77 90.28 90.69 90.33 89.57 91.47 89.48 90.19 88.67
675 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 91.33 92.57 90.36 89.78 91.66 90.59 90.68 90.10 90.62 90.86 90.72 90.25 91.34 90.86 88.92 91.57 90.79 91.19 90.60 92.60 89.45 89.23 91.11 89.35 90.39 89.73
372 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 90.09 92.57 90.60 91.64 91.29 90.49 91.30 90.30 92.56 91.06 90.66 90.80 92.14 91.15 89.49 91.71 90.67 92.03 91.53 92.01 90.64 89.94 90.74 89.47 91.11 90.27
375 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.01 90.30 91.57 92.49 91.07 90.89 91.06 89.36 90.73 90.41 90.62 90.39 91.64 91.49 91.10 92.92 91.95 92.75 91.54 92.25 92.30 90.12 89.62 90.15 90.04 89.40
493 372 32 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 90.85 91.30 91.32 92.51 91.26 91.22 91.45 90.01 90.91 89.67 90.45 90.62 92.06 91.58 89.41 90.97 90.43 90.51 91.21 90.39 89.07 89.44 89.74 88.87 90.07 90.33
572 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 91.02 89.65 90.94 92.48 90.98 91.04 89.92 91.06 90.44 90.19 90.91 90.66 92.68 90.84 90.02 91.31 90.20 90.52 91.25 91.03 90.49 90.69 90.09 89.53 91.09 89.77
573 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 89.20 91.69 91.45 90.34 90.87 91.99 91.95 90.83 91.10 90.28 90.25 92.00 91.23 91.03 91.37 91.72 92.25 91.86 91.65 90.60 89.70 89.53 90.03 90.51 90.88 88.93
635 372 32 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 91.72 90.05 89.04 91.42 91.85 90.96 90.56 90.13 90.63 90.12 90.82 91.50 91.61 90.11 90.23 90.75 91.24 90.34 90.52 92.68 89.01 89.66 89.55 90.40 91.30 89.92
392 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 90.38 90.96 90.03 91.43 91.05 91.00 90.18 90.27 91.32 89.70 91.44 90.33 91.55 90.03 90.56 91.28 91.02 91.45 91.81 92.14 90.47 89.75 90.37 89.20 90.39 90.03
393 372 32 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 90.40 90.25 89.79 91.19 91.16 91.14 90.06 90.45 90.08 89.57 91.41 90.35 91.89 91.09 89.16 91.37 91.17 92.56 91.52 91.11 90.27 89.28 90.36 89.24 90.52 90.93
413 372 32 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 89.36 90.63 91.30 91.70 90.86 91.23 90.50 90.58 90.56 90.53 91.08 89.82 91.56 90.29 90.73 90.57 90.72 92.00 90.87 90.46 89.80 91.15 88.26 90.95 90.61 90.65
Size of the All data:  (136, 29)
Size of the Sig data:  (12, 29)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params1 = dt_valid.loc[dt_valid_sub1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params = optimal_params1.reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
3 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 93.36 92.52 93.55 92.88 92.70 91.46 93.50 91.86 92.25 93.12 92.73 91.13 93.00 93.81 93.76 93.24 93.60 94.03 93.68 92.07 92.78 93.27 92.01 92.48 92.77 90.78
6 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 91.63 93.28 92.44 92.66 93.12 93.83 92.16 92.06 92.50 92.68 91.79 91.90 92.03 92.79 93.40 92.95 93.27 91.39 93.65 92.89 93.70 92.37 93.40 93.51 92.09 91.98
8 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 92.17 93.25 92.97 91.47 93.06 90.37 91.78 92.48 91.42 93.27 91.50 91.28 92.25 91.81 93.65 90.17 93.06 93.71 90.02 92.56 93.18 92.74 92.90 93.01 93.17 91.22
0 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 92.62 93.94 92.96 93.84 92.92 93.11 92.22 93.02 91.88 93.04 92.81 92.22 92.47 92.03 92.54 92.18 93.41 91.85 92.68 91.51 93.00 92.05 93.15 92.29 92.48 92.10
1 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.76 94.02 90.67 92.32 92.61 91.57 91.40 89.77 91.09 92.17 93.43 91.84 92.93 93.52 92.39 93.06 92.74 92.84 93.34 93.23 93.96 92.66 93.26 91.98 91.59 91.33
11 372 32 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 92.39 92.92 93.00 94.10 91.90 89.60 89.78 91.72 91.89 92.50 92.90 92.35 91.50 93.58 93.22 91.55 93.43 92.96 93.26 92.92 93.15 92.05 93.80 93.13 91.02 91.83
4 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 92.90 93.01 93.06 93.35 93.14 93.90 92.76 93.45 91.76 92.56 92.55 92.57 92.97 91.85 92.32 93.23 93.05 93.06 93.96 92.62 93.13 94.07 93.38 91.65 92.76 90.69
2 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 92.70 92.71 93.42 93.35 90.99 94.44 93.13 92.82 92.10 92.09 92.71 92.94 93.14 94.15 90.89 92.89 92.98 92.37 93.88 93.37 93.94 92.81 93.36 93.20 93.17 91.36
10 372 32 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 92.64 93.38 92.89 91.82 93.24 93.51 92.72 91.97 92.09 92.41 93.19 92.39 91.84 93.14 92.38 92.43 92.56 93.11 92.98 93.15 93.34 93.14 91.95 93.39 93.26 91.11
5 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 93.46 92.75 93.54 93.67 93.31 92.80 91.02 91.81 92.33 92.34 92.68 92.57 91.64 93.88 93.00 92.37 92.23 93.73 94.20 91.79 92.77 92.85 92.11 91.32 92.86 92.92
9 372 32 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 93.59 93.29 93.82 93.15 92.85 91.98 92.52 93.10 92.76 92.51 92.65 92.31 93.29 92.68 93.00 92.78 93.63 92.32 92.26 93.43 92.51 93.06 94.07 91.56 92.52 93.35
7 372 32 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 92.04 93.96 93.85 92.33 93.24 94.11 93.27 92.87 93.06 92.18 93.81 93.08 92.98 93.20 92.67 94.28 93.88 94.05 93.43 93.18 92.80 92.56 92.77 94.27 91.92 93.05
Size of the test data:  (12, 34)

Difference

Code
diff = dt[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt.columns,test_data_1.columns)):   
   diff[f'col_diff_{i}'] = (np.array(dt[cols[0]]) - np.array(test_data_1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff['negative_count'] = diff.apply(count_negatives, axis=1)
diff.sort_values(by =["negative_count"],inplace = True, ascending=False)

html_table = diff.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

# 
# show(diff)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
675 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.84 0.68 2.61 1.69 1.40 -0.22 1.10 2.38 0.80 2.41 0.78 1.03 0.91 0.95 4.73 -1.40 2.27 2.52 -0.58 -0.04 3.73 3.51 1.79 3.66 2.78 1.49 4
372 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.53 1.37 2.36 2.20 1.63 2.62 0.92 2.72 -0.68 1.98 2.15 1.42 0.33 0.88 3.05 0.47 2.74 -0.18 1.15 -0.50 2.36 2.11 2.41 2.82 1.37 1.83 3
493 372 32 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.54 1.62 1.68 1.59 0.64 -1.62 -1.67 1.71 0.98 2.83 2.45 1.73 -0.56 2.00 3.81 0.58 3.00 2.45 2.05 2.53 4.08 2.61 4.06 4.26 0.95 1.50 3
375 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.75 3.72 -0.90 -0.17 1.54 0.68 0.34 0.41 0.36 1.76 2.81 1.45 1.29 2.03 1.29 0.14 0.79 0.09 1.80 0.98 1.66 2.54 3.64 1.83 1.55 1.93 2
554 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.61 1.88 2.19 1.43 0.95 0.26 2.25 1.69 1.27 3.14 2.19 -0.25 1.25 3.50 2.25 3.76 2.57 2.81 2.54 0.51 2.14 3.85 3.28 2.56 1.95 1.38 1
612 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.63 1.36 3.07 1.37 1.59 2.19 -0.21 1.68 2.06 1.90 0.95 0.61 0.72 2.81 1.04 2.40 2.73 0.62 3.37 2.20 3.37 2.80 1.93 4.03 1.90 3.31 1
573 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.50 1.02 1.97 3.01 0.12 2.45 1.18 1.99 1.00 1.81 2.46 0.94 1.91 3.12 -0.48 1.17 0.73 0.51 2.23 2.77 4.24 3.28 3.33 2.69 2.29 2.43 1
392 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.08 1.79 3.51 2.24 2.26 1.80 0.84 1.54 1.01 2.64 1.24 2.24 0.09 3.85 2.44 1.09 1.21 2.28 2.39 -0.35 2.30 3.10 1.74 2.12 2.47 2.89 1
393 372 32 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.19 3.04 4.03 1.96 1.69 0.84 2.46 2.65 2.68 2.94 1.24 1.96 1.40 1.59 3.84 1.41 2.46 -0.24 0.74 2.32 2.24 3.78 3.71 2.32 2.00 2.42 1
572 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.88 3.36 2.12 0.87 2.16 2.86 2.84 2.39 1.32 2.37 1.64 1.91 0.29 1.01 2.30 1.92 2.85 2.54 2.71 1.59 2.64 3.38 3.29 2.12 1.67 0.92 0
635 372 32 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.92 3.33 3.85 0.40 1.39 2.55 2.16 1.84 1.46 2.29 2.37 0.89 0.23 3.03 2.15 1.68 1.32 2.77 2.46 0.47 4.33 3.48 2.40 2.99 1.96 1.19 0
413 372 32 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.68 3.33 2.55 0.63 2.38 2.88 2.77 2.29 2.50 1.65 2.73 3.26 1.42 2.91 1.94 3.71 3.16 2.05 2.56 2.72 3.00 1.41 4.51 3.32 1.31 2.40 0

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_13 91.730000 0.412068
mAP_valid_abs_values_4 91.476667 0.824162
mAP_valid_abs_values_20 91.460000 0.851298
mAP_valid_abs_values_18 91.433333 0.814040
mAP_valid_abs_values_5 91.277500 0.343647
mAP_valid_abs_values_16 91.183333 0.836827
mAP_valid_abs_values_19 91.160000 0.492323
mAP_valid_abs_values_6 91.115833 0.408221
mAP_valid_abs_values_2 91.044167 0.970684
mAP_valid_abs_values_17 91.000833 0.600052
mAP_valid_abs_values_7 90.940000 0.760574
mAP_valid_abs_values_9 90.864167 0.629176
mAP_valid_abs_values_11 90.811667 0.359743
mAP_valid_abs_values_12 90.782500 0.633118
mAP_valid_abs_values_14 90.730000 0.566649
mAP_valid_abs_values_25 90.617500 0.423258
mAP_valid_abs_values_3 90.594167 0.871242
mAP_valid_abs_values 90.509167 0.842285
mAP_valid_abs_values_15 90.405000 1.059515
mAP_valid_abs_values_8 90.303333 0.428535
mAP_valid_abs_values_10 90.262500 0.486810
mAP_valid_abs_values_21 90.180833 0.886110
mAP_valid_abs_values_23 90.005833 0.918036
mAP_valid_abs_values_26 89.835833 0.668288
mAP_valid_abs_values_22 89.815000 0.583960
mAP_valid_abs_values_24 89.755833 0.627063


We then apply the hyperparameters to the test set and average the results.

Code
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_2 93.252500 0.507527
mAP_test_abs_values_21 93.188333 0.470818
mAP_test_abs_values_17 93.153333 0.480120
mAP_test_abs_values_19 93.111667 1.118854
mAP_test_abs_values_14 93.036667 0.810682
mAP_test_abs_values_3 93.014167 0.848726
mAP_test_abs_values_23 93.013333 0.690485
mAP_test_abs_values_18 92.951667 0.852225
mAP_test_abs_values_4 92.911667 0.815362
mAP_test_abs_values_22 92.802500 0.556795
mAP_test_abs_values_15 92.768333 0.772008
mAP_test_abs_values_5 92.756667 0.678197
mAP_test_abs_values_11 92.729167 0.628236
mAP_test_abs_values_20 92.726667 0.635228
average_map 92.685897 0.263618
mAP_test_abs_values_24 92.649167 0.911467
mAP_test_abs_values_16 92.594167 1.015547
mAP_test_abs_values_10 92.572500 0.387888
mAP_test_abs_values_6 92.556667 1.557739
mAP_test_abs_values 92.521667 0.808746
mAP_test_abs_values_13 92.503333 0.630964
mAP_test_abs_values_25 92.467500 0.691285
mAP_test_abs_values_8 92.244167 0.972751
mAP_test_abs_values_12 92.215000 0.593533
mAP_test_abs_values_7 92.188333 1.063945
mAP_test_abs_values_9 92.094167 0.546301
mAP_test_abs_values_26 91.810000 0.896508
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues_mw = []
pvalues_real_mw = []

for _,index in enumerate(dt_valid_sub.index):

  _, p_value_mw = stats.mannwhitneyu(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')#, method = 'asymptotic')
  pvalues_real_mw.append(p_value_mw)
  pvalues_mw.append((p_value_mw >= 0.05)*1)
  

dt_valid_sub_mw['pvalues_mw'] = pvalues_real_mw
dt_valid_sub_mw['sig_mw'] = pvalues_mw

dt_valid_sub_mw1 = dt_valid_sub_mw.query('sig_mw == 1')


max_indexx = dt_valid_sub_mw1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
554 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 91.75 90.64 91.36 91.45 91.75 91.20 91.25 90.17 90.98 89.98 90.54 91.38 91.75 90.31 91.51 89.48 91.03 91.22 91.14 91.56 90.64 89.42 88.73 89.92 90.82 89.40
612 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 90.00 91.92 89.37 91.29 91.53 91.64 92.37 90.38 90.44 90.78 90.84 91.29 91.31 89.98 92.36 90.55 90.54 90.77 90.28 90.69 90.33 89.57 91.47 89.48 90.19 88.67
672 372 32 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 91.18 91.69 90.98 91.08 91.33 90.45 91.31 89.77 90.21 90.69 90.24 91.00 92.15 91.98 90.29 91.35 91.15 90.89 90.51 90.45 88.84 88.51 88.93 88.69 90.98 90.42
675 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 91.33 92.57 90.36 89.78 91.66 90.59 90.68 90.10 90.62 90.86 90.72 90.25 91.34 90.86 88.92 91.57 90.79 91.19 90.60 92.60 89.45 89.23 91.11 89.35 90.39 89.73
372 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 90.09 92.57 90.60 91.64 91.29 90.49 91.30 90.30 92.56 91.06 90.66 90.80 92.14 91.15 89.49 91.71 90.67 92.03 91.53 92.01 90.64 89.94 90.74 89.47 91.11 90.27
375 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.01 90.30 91.57 92.49 91.07 90.89 91.06 89.36 90.73 90.41 90.62 90.39 91.64 91.49 91.10 92.92 91.95 92.75 91.54 92.25 92.30 90.12 89.62 90.15 90.04 89.40
434 372 32 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 89.31 91.43 89.70 91.95 91.17 90.62 90.73 91.32 90.38 91.34 90.56 90.48 91.94 89.94 90.71 91.00 90.91 90.80 91.21 92.02 90.70 90.49 88.38 90.05 88.65 88.90
572 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 91.02 89.65 90.94 92.48 90.98 91.04 89.92 91.06 90.44 90.19 90.91 90.66 92.68 90.84 90.02 91.31 90.20 90.52 91.25 91.03 90.49 90.69 90.09 89.53 91.09 89.77
573 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 89.20 91.69 91.45 90.34 90.87 91.99 91.95 90.83 91.10 90.28 90.25 92.00 91.23 91.03 91.37 91.72 92.25 91.86 91.65 90.60 89.70 89.53 90.03 90.51 90.88 88.93
392 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 90.38 90.96 90.03 91.43 91.05 91.00 90.18 90.27 91.32 89.70 91.44 90.33 91.55 90.03 90.56 91.28 91.02 91.45 91.81 92.14 90.47 89.75 90.37 89.20 90.39 90.03
Size of the All data:  (136, 29)
Size of the Sig data:  (10, 34)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params_mw1 = dt_valid.loc[dt_valid_sub_mw1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params_mw = optimal_params_mw1.reset_index()
optimal_params_mw.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_mw1 = pd.merge(optimal_params_mw, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub_mw = test_data_mw1[list(test_data_mw1.columns[test_data_mw1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
3 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 93.36 92.52 93.55 92.88 92.70 91.46 93.50 91.86 92.25 93.12 92.73 91.13 93.00 93.81 93.76 93.24 93.60 94.03 93.68 92.07 92.78 93.27 92.01 92.48 92.77 90.78
6 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 91.63 93.28 92.44 92.66 93.12 93.83 92.16 92.06 92.50 92.68 91.79 91.90 92.03 92.79 93.40 92.95 93.27 91.39 93.65 92.89 93.70 92.37 93.40 93.51 92.09 91.98
8 372 32 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 92.01 93.22 92.70 91.92 93.40 89.86 93.00 91.07 91.05 91.23 91.46 92.19 88.96 93.16 88.34 93.02 93.36 93.16 92.15 92.34 93.68 92.26 93.61 92.21 92.09 91.74
7 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 92.17 93.25 92.97 91.47 93.06 90.37 91.78 92.48 91.42 93.27 91.50 91.28 92.25 91.81 93.65 90.17 93.06 93.71 90.02 92.56 93.18 92.74 92.90 93.01 93.17 91.22
0 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 92.62 93.94 92.96 93.84 92.92 93.11 92.22 93.02 91.88 93.04 92.81 92.22 92.47 92.03 92.54 92.18 93.41 91.85 92.68 91.51 93.00 92.05 93.15 92.29 92.48 92.10
1 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.76 94.02 90.67 92.32 92.61 91.57 91.40 89.77 91.09 92.17 93.43 91.84 92.93 93.52 92.39 93.06 92.74 92.84 93.34 93.23 93.96 92.66 93.26 91.98 91.59 91.33
9 372 32 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 92.55 93.58 93.64 93.40 93.41 93.06 92.52 92.23 91.63 91.65 93.24 92.13 92.84 93.58 92.59 93.59 93.61 94.28 92.10 93.73 93.50 93.33 93.82 92.65 90.82 92.31
4 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 92.90 93.01 93.06 93.35 93.14 93.90 92.76 93.45 91.76 92.56 92.55 92.57 92.97 91.85 92.32 93.23 93.05 93.06 93.96 92.62 93.13 94.07 93.38 91.65 92.76 90.69
2 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 92.70 92.71 93.42 93.35 90.99 94.44 93.13 92.82 92.10 92.09 92.71 92.94 93.14 94.15 90.89 92.89 92.98 92.37 93.88 93.37 93.94 92.81 93.36 93.20 93.17 91.36
5 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 93.46 92.75 93.54 93.67 93.31 92.80 91.02 91.81 92.33 92.34 92.68 92.57 91.64 93.88 93.00 92.37 92.23 93.73 94.20 91.79 92.77 92.85 92.11 91.32 92.86 92.92
Size of the test data:  (10, 34)

Difference

Code
diff_mw = dt_mw[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt_mw.columns,test_data_mw1.columns)):   
   diff_mw[f'col_diff_{i}'] = (np.array(dt_mw[cols[0]]) - np.array(test_data_mw1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff_mw['negative_count'] = diff_mw.apply(count_negatives, axis=1)

diff_mw.sort_values(by =["negative_count"],inplace = True, ascending=False)


html_table = diff_mw.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

key_values = ['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']
print('Are the keys of the valid and test dfs same?: ',dt_mw[key_values].equals(test_data_mw1[key_values]))
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
675 372 32 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.84 0.68 2.61 1.69 1.40 -0.22 1.10 2.38 0.80 2.41 0.78 1.03 0.91 0.95 4.73 -1.40 2.27 2.52 -0.58 -0.04 3.73 3.51 1.79 3.66 2.78 1.49 4
672 372 32 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.83 1.53 1.72 0.84 2.07 -0.59 1.69 1.30 0.84 0.54 1.22 1.19 -3.19 1.18 -1.95 1.67 2.21 2.27 1.64 1.89 4.84 3.75 4.68 3.52 1.11 1.32 3
372 372 32 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.53 1.37 2.36 2.20 1.63 2.62 0.92 2.72 -0.68 1.98 2.15 1.42 0.33 0.88 3.05 0.47 2.74 -0.18 1.15 -0.50 2.36 2.11 2.41 2.82 1.37 1.83 3
375 372 32 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.75 3.72 -0.90 -0.17 1.54 0.68 0.34 0.41 0.36 1.76 2.81 1.45 1.29 2.03 1.29 0.14 0.79 0.09 1.80 0.98 1.66 2.54 3.64 1.83 1.55 1.93 2
554 372 32 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.61 1.88 2.19 1.43 0.95 0.26 2.25 1.69 1.27 3.14 2.19 -0.25 1.25 3.50 2.25 3.76 2.57 2.81 2.54 0.51 2.14 3.85 3.28 2.56 1.95 1.38 1
612 372 32 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.63 1.36 3.07 1.37 1.59 2.19 -0.21 1.68 2.06 1.90 0.95 0.61 0.72 2.81 1.04 2.40 2.73 0.62 3.37 2.20 3.37 2.80 1.93 4.03 1.90 3.31 1
573 372 32 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.50 1.02 1.97 3.01 0.12 2.45 1.18 1.99 1.00 1.81 2.46 0.94 1.91 3.12 -0.48 1.17 0.73 0.51 2.23 2.77 4.24 3.28 3.33 2.69 2.29 2.43 1
392 372 32 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.08 1.79 3.51 2.24 2.26 1.80 0.84 1.54 1.01 2.64 1.24 2.24 0.09 3.85 2.44 1.09 1.21 2.28 2.39 -0.35 2.30 3.10 1.74 2.12 2.47 2.89 1
434 372 32 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.24 2.15 3.94 1.45 2.24 2.44 1.79 0.91 1.25 0.31 2.68 1.65 0.90 3.64 1.88 2.59 2.70 3.48 0.89 1.71 2.80 2.84 5.44 2.60 2.17 3.41 0
572 372 32 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.88 3.36 2.12 0.87 2.16 2.86 2.84 2.39 1.32 2.37 1.64 1.91 0.29 1.01 2.30 1.92 2.85 2.54 2.71 1.59 2.64 3.38 3.29 2.12 1.67 0.92 0
Are the keys of the valid and test dfs same?:  False

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_13 91.773 0.458501
mAP_valid_abs_values_20 91.535 0.781270
mAP_valid_abs_values_4 91.393 0.855051
mAP_valid_abs_values_18 91.348 0.689151
mAP_valid_abs_values_2 91.342 0.953785
mAP_valid_abs_values_16 91.289 0.882452
mAP_valid_abs_values_5 91.270 0.297508
mAP_valid_abs_values_19 91.152 0.523318
mAP_valid_abs_values_7 91.075 0.744569
mAP_valid_abs_values_17 91.051 0.621422
mAP_valid_abs_values_6 90.991 0.507465
mAP_valid_abs_values_9 90.878 0.687230
mAP_valid_abs_values_12 90.858 0.561383
mAP_valid_abs_values_14 90.761 0.689516
mAP_valid_abs_values_11 90.678 0.345472
mAP_valid_abs_values_3 90.636 0.759637
mAP_valid_abs_values_15 90.633 1.014255
mAP_valid_abs_values_10 90.529 0.507487
mAP_valid_abs_values_25 90.454 0.740168
mAP_valid_abs_values 90.427 0.863430
mAP_valid_abs_values_21 90.356 0.921342
mAP_valid_abs_values_8 90.356 0.586538
mAP_valid_abs_values_23 89.947 1.031989
mAP_valid_abs_values_22 89.725 0.632073
mAP_valid_abs_values_24 89.635 0.528105
mAP_valid_abs_values_26 89.552 0.597472


We then apply the hyperparameters to the test set and average the results.

Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params = dt_valid.loc[dt_valid_sub_mw1.index].iloc[:, :6].reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, how='left')
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_2 93.229500 0.587332
mAP_test_abs_values_23 93.174000 0.755434
mAP_test_abs_values_19 93.073500 0.974681
mAP_test_abs_values_17 93.070000 0.602427
mAP_test_abs_values_21 93.014500 0.988853
mAP_test_abs_values_18 92.963500 0.942921
mAP_test_abs_values_3 92.946500 0.827181
mAP_test_abs_values_22 92.895000 0.767737
mAP_test_abs_values_4 92.867000 0.652562
mAP_test_abs_values_14 92.829750 0.723622
mAP_test_abs_values_5 92.709000 0.607795
mAP_test_abs_values_10 92.701500 0.672399
mAP_test_abs_values_16 92.685500 0.936989
average_map 92.593635 0.276937
mAP_test_abs_values_25 92.550750 0.615677
mAP_test_abs_values_24 92.424500 0.483560
mAP_test_abs_values_6 92.405750 1.353804
mAP_test_abs_values_7 92.401500 0.639642
mAP_test_abs_values_11 92.333250 0.916161
mAP_test_abs_values_20 92.319250 0.900132
mAP_test_abs_values_13 92.257500 1.086067
mAP_test_abs_values_15 92.227750 1.225330
mAP_test_abs_values_8 92.197000 1.058066
mAP_test_abs_values_12 92.166750 0.893815
mAP_test_abs_values 92.164500 0.716784
mAP_test_abs_values_9 91.955750 0.818397
mAP_test_abs_values_26 91.871000 0.755794


Summary using radar plot

Code
def extract_number(text):
    if isinstance(text, str):
        matches = re.findall(r'\d+', text)
        return int(matches[0]) if matches else 1
    return 1

res_valid1['id'] = res_valid1.index.to_series().apply(extract_number)
res_test1['id'] = res_test1.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid1,res_test1])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test1 = res_test1.sort_values(by=['id']).reset_index().query("index !='average_map'")
data_range1 = np.array(list(res_test1['mean']) + list(res_valid1['mean']))
categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test1['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid1['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "T-Test",
        'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range1.min()), round(data_range1.max()) + 1]
    )),
  showlegend=True
)

fig.show()

##############


res_valid2['id'] = res_valid2.index.to_series().apply(extract_number)
res_test2['id'] = res_test2.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid2,res_test2])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test2 = res_test2.sort_values(by=['id']).reset_index().query("index !='average_map'")

data_range2 = np.array(list(res_test2['mean']) + list(res_valid2['mean']))

categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test2['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid2['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "MU-Test",
         'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range2.min()), round(data_range2.max()) + 1]
    )),
  showlegend=True
)

fig.show()




Bit size 48

The results in this presentation are from two experimental designs:

::: {.panel-tabset}

Experiment 1 Results

The thresholding is based on fixed values between -1 and 1 on a step size of 0.1.

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
16 372 48 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 86.47 88.84 87.86 87.13 87.81 88.66 87.92 87.08 89.56 88.78 89.57 89.68 89.48 88.52 89.32 91.15 89.03 89.11 89.43 89.40 89.19 88.18 88.55 88.73 89.70 88.06
17 372 48 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 87.37 87.75 88.17 87.21 87.52 89.06 88.30 89.54 89.04 90.14 88.63 88.99 88.77 89.29 88.48 90.14 88.87 90.35 89.54 86.78 88.97 88.99 88.99 88.77 88.58 89.02
18 372 48 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 88.43 87.77 88.99 87.52 88.64 89.22 88.21 42.66 88.42 89.44 84.97 89.57 88.51 89.80 89.59 90.78 90.22 89.70 88.61 89.15 42.66 89.80 87.76 89.72 89.12 87.89
19 372 48 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 88.59 88.12 88.46 86.03 87.82 89.99 89.71 89.49 88.33 89.68 88.98 89.28 89.09 88.60 88.27 89.44 88.13 89.58 89.20 90.22 87.76 42.66 89.77 88.22 88.66 89.58
36 372 48 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 87.33 89.71 88.75 88.99 88.99 89.18 89.78 90.62 90.37 89.01 90.06 89.69 90.92 89.32 90.35 90.68 90.74 89.01 89.29 89.51 88.93 89.29 88.66 88.89 89.16 88.96
37 372 48 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 88.37 89.19 88.17 88.51 42.66 89.79 89.57 90.09 90.24 88.23 89.84 89.95 89.77 90.52 89.94 90.84 90.21 89.11 89.23 90.01 89.33 89.73 89.01 88.81 88.54 88.36
38 372 48 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 88.49 88.75 86.80 87.58 88.45 89.08 88.91 90.45 90.35 89.03 89.66 90.02 89.97 90.08 89.00 90.26 90.14 89.31 90.04 90.93 88.60 88.95 87.75 89.17 89.58 88.40
39 372 48 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 88.62 89.73 89.11 89.02 88.25 89.64 90.52 89.81 90.16 89.30 89.79 89.48 90.42 89.38 90.42 90.77 90.45 90.70 89.06 90.80 89.13 89.70 88.82 89.54 88.31 90.15
56 372 48 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 90.36 90.62 90.47 89.32 90.28 88.85 89.55 89.68 90.37 88.89 88.84 90.34 89.79 90.82 90.09 91.18 90.68 89.47 89.00 89.41 90.37 88.80 89.53 88.85 88.60 90.20
57 372 48 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 90.14 88.97 89.96 89.79 88.68 42.66 90.82 89.34 90.06 91.00 90.61 89.11 90.35 89.96 89.48 89.97 89.37 89.86 88.72 89.79 88.63 89.78 90.98 89.48 89.26 89.66
58 372 48 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 88.93 88.73 90.12 89.71 89.38 90.69 89.23 89.51 90.43 88.97 89.23 88.69 90.19 42.66 42.66 91.24 89.79 89.99 90.19 90.09 88.91 89.23 89.20 89.26 89.17 88.47
59 372 48 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 89.95 88.94 89.69 90.39 89.61 89.63 90.05 89.92 88.95 89.20 90.34 90.69 90.41 89.71 90.82 90.72 89.55 91.92 90.16 90.03 89.45 89.10 89.62 88.75 88.83 89.70
76 372 48 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 89.41 88.29 88.91 88.92 89.01 88.43 89.69 90.57 89.28 89.12 90.23 89.88 90.10 88.26 89.66 89.25 90.33 90.37 90.38 90.19 89.08 89.16 88.51 87.45 89.37 88.81
77 372 48 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 88.80 42.66 88.41 86.62 88.49 88.94 88.39 90.66 89.84 89.17 90.20 90.85 89.60 90.18 90.26 91.44 90.24 89.28 91.11 89.74 89.58 88.87 89.50 88.81 89.90 88.53
78 372 48 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 88.00 89.69 88.45 87.17 86.94 88.54 90.35 89.72 88.86 89.09 89.78 90.14 90.57 90.06 89.03 89.86 89.69 89.37 89.68 88.82 87.78 88.31 88.88 89.85 88.25 89.15
79 372 48 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 90.96 88.68 88.32 88.16 89.61 88.49 89.71 89.63 90.03 90.10 90.62 89.94 89.83 88.67 90.03 90.41 89.67 90.56 88.96 91.17 88.60 88.35 89.66 90.01 89.50 88.70
96 372 48 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 90.16 89.65 89.99 89.05 90.39 89.48 90.77 89.58 90.85 89.66 89.71 90.84 89.92 89.63 90.48 90.71 91.37 89.58 90.75 90.04 87.97 89.29 90.41 89.60 89.11 89.83
97 372 48 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 89.95 89.09 90.18 90.14 89.86 89.61 89.71 90.62 90.40 91.00 90.44 88.84 90.82 89.23 90.32 91.26 90.79 90.47 88.94 89.59 90.37 89.95 88.86 89.52 89.54 89.90
98 372 48 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 88.06 90.75 89.16 89.93 90.72 89.78 91.89 89.94 90.81 90.45 89.44 90.33 90.87 89.39 89.91 91.09 90.57 89.92 90.29 90.29 89.08 89.56 89.71 89.43 89.37 89.90
99 372 48 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 89.51 90.91 90.07 88.48 89.07 90.75 90.88 90.52 90.03 90.87 89.63 90.34 90.47 90.52 89.97 91.56 90.41 90.36 90.57 91.24 90.91 89.52 89.55 89.16 88.79 88.09
116 372 48 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 89.97 90.36 90.42 89.22 89.98 89.81 89.83 90.02 90.02 90.45 91.53 89.63 90.59 90.57 90.38 90.67 90.66 90.48 90.56 89.80 90.15 89.17 88.43 90.32 90.00 89.29
117 372 48 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 89.54 89.49 89.62 89.48 90.04 88.83 90.03 90.51 90.40 90.01 89.84 91.03 90.62 89.82 91.44 90.94 90.25 91.24 90.32 91.17 89.99 88.26 89.23 89.26 90.10 88.67
118 372 48 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 89.84 90.17 90.52 89.77 89.45 89.37 89.79 90.55 90.85 90.35 89.98 90.32 91.86 90.74 90.44 92.91 90.66 91.31 89.89 91.43 90.06 90.08 89.60 90.19 89.23 89.59
119 372 48 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 88.22 90.95 90.25 89.55 89.66 90.90 90.49 90.54 90.84 89.55 89.73 89.61 91.47 89.61 90.50 91.06 90.34 90.60 91.00 89.35 89.15 90.67 90.17 90.83 89.10 89.78
136 372 48 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 89.13 89.03 88.86 87.16 88.19 89.46 88.48 90.65 90.11 88.53 88.77 89.48 90.97 89.87 90.72 91.04 89.84 90.44 88.91 89.68 89.47 89.63 89.99 89.99 90.16 88.33
137 372 48 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 88.78 89.36 89.42 89.50 88.62 90.10 90.45 90.06 89.98 91.05 89.89 90.87 90.65 90.29 90.14 90.66 90.61 90.92 90.58 90.17 88.92 89.40 89.18 89.21 88.82 89.72
138 372 48 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 88.30 88.86 89.03 88.92 88.16 89.50 90.27 42.66 91.12 89.54 89.26 90.18 90.00 89.20 90.01 90.55 88.40 90.62 89.84 89.89 89.42 88.33 90.37 88.52 89.03 88.84
139 372 48 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 88.26 89.22 89.14 88.69 88.49 89.33 88.98 90.66 90.02 90.39 88.16 88.33 91.27 89.16 89.64 90.79 89.67 91.72 89.19 89.37 90.11 90.08 90.54 88.92 89.22 88.73
156 372 48 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 89.56 90.52 90.86 89.56 89.16 90.51 90.42 90.96 90.27 90.63 89.42 89.25 91.92 90.97 90.90 91.62 90.65 89.99 88.39 90.80 90.23 89.94 88.65 89.04 89.76 89.36
157 372 48 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 88.62 90.35 90.54 89.76 89.14 89.84 90.28 90.37 89.58 89.82 90.41 88.99 90.71 91.37 90.64 90.16 90.70 90.99 90.11 91.14 91.92 89.89 90.50 89.95 89.89 87.94
158 372 48 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 89.13 90.49 89.55 89.53 89.49 90.00 91.08 90.33 91.11 90.89 89.18 90.50 90.83 91.29 89.96 91.36 90.22 90.71 89.21 90.23 91.14 89.32 88.74 88.89 91.32 89.66
159 372 48 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 89.28 89.95 90.35 90.76 89.22 89.41 90.26 91.08 90.24 89.99 90.44 89.92 91.25 89.68 90.32 91.05 89.78 91.83 91.29 91.08 89.06 88.16 90.71 88.70 89.94 89.02
176 372 48 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 89.24 91.29 90.66 89.94 91.10 89.17 89.39 90.03 90.86 90.69 90.17 89.92 88.93 90.99 90.99 90.51 90.95 90.89 90.02 89.94 90.26 89.79 91.11 90.10 89.51 89.25
177 372 48 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 91.57 90.05 90.25 90.50 91.89 90.12 90.62 90.54 90.49 90.09 89.63 90.56 90.43 89.87 90.12 90.07 90.16 90.09 90.82 90.33 89.21 89.18 88.91 88.85 89.84 87.96
178 372 48 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 89.30 90.26 89.62 89.49 91.35 90.22 90.19 91.16 89.79 91.02 89.50 91.74 91.20 91.27 89.99 90.62 89.67 91.47 89.52 88.68 89.87 88.81 88.48 89.73 90.13 88.72
179 372 48 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 88.94 90.64 91.86 90.94 87.99 89.76 89.68 90.97 91.45 90.42 90.08 90.01 90.99 90.11 90.46 90.87 91.30 91.69 90.24 90.25 88.60 89.35 89.55 89.46 90.37 89.01
196 372 48 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 87.81 87.26 88.65 86.79 88.18 89.68 89.05 89.92 88.46 88.22 88.82 89.38 90.12 89.44 87.16 90.69 89.37 90.36 89.56 88.89 89.11 89.22 88.58 88.62 90.33 88.53
197 372 48 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 88.70 88.94 88.38 89.49 89.33 88.59 89.10 89.95 90.16 89.81 90.24 90.94 90.00 90.53 88.21 89.45 87.02 89.55 90.10 88.94 89.58 88.41 89.99 88.32 88.82 89.10
198 372 48 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 86.66 88.73 87.87 87.38 87.38 90.74 89.64 89.40 90.23 88.61 89.10 89.42 89.14 89.58 88.58 89.76 88.99 91.15 90.07 89.41 89.15 88.65 90.38 88.85 88.95 87.98
199 372 48 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 87.65 88.97 89.22 88.27 89.11 89.44 89.19 89.40 89.38 88.90 88.90 89.18 90.36 88.75 89.58 89.54 89.52 89.77 90.85 90.04 91.89 89.00 90.20 88.91 89.03 89.22
216 372 48 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 89.18 89.68 89.35 88.49 88.84 89.78 89.03 90.74 90.76 90.78 89.02 89.35 90.04 90.18 90.22 88.81 89.12 91.17 89.92 89.15 89.72 90.07 90.28 89.49 88.80 87.97
217 372 48 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 89.54 89.20 89.30 89.95 89.15 90.20 88.98 90.44 89.64 89.78 90.18 89.18 90.78 90.68 90.30 90.43 90.90 89.49 89.83 90.72 88.98 88.63 90.11 88.89 88.84 88.46
218 372 48 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 88.78 89.82 87.81 89.11 89.77 89.02 89.00 90.55 89.99 89.50 89.33 90.10 90.29 88.87 90.12 90.64 89.96 91.00 89.04 89.99 89.22 89.19 88.84 89.41 89.62 89.35
219 372 48 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 89.61 90.99 88.67 88.94 89.92 89.34 89.30 89.43 90.25 90.85 89.33 89.48 90.99 89.41 89.27 91.20 89.92 89.65 91.04 90.57 90.10 90.21 89.00 88.82 89.14 89.97
236 372 48 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 88.80 89.19 89.30 90.01 87.80 89.25 89.22 91.26 90.65 89.33 89.72 90.12 90.24 90.57 90.73 90.63 91.00 90.09 90.06 89.89 89.08 89.21 88.93 89.48 91.28 89.18
237 372 48 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 88.38 89.74 89.36 89.41 90.60 89.48 88.50 90.77 88.95 90.91 90.34 89.83 90.29 90.10 90.61 90.72 90.00 89.64 89.48 89.91 88.76 88.51 89.11 89.47 89.75 88.51
238 372 48 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 89.86 88.69 89.09 89.19 88.79 88.98 90.09 88.94 91.71 89.36 90.26 90.46 90.66 89.91 90.96 90.32 90.12 90.48 90.64 89.03 89.99 89.68 89.39 89.97 88.95 89.91
239 372 48 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 89.05 90.13 90.62 90.04 88.50 90.63 91.53 89.50 90.41 90.89 89.69 89.38 90.98 89.39 89.81 89.31 90.19 90.31 90.70 90.76 90.15 88.56 90.41 88.72 89.41 88.96
256 372 48 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 87.70 88.41 87.65 88.19 89.54 88.52 88.84 90.80 90.41 89.16 88.42 90.68 91.52 89.99 89.40 89.95 89.04 89.00 89.93 89.43 89.27 89.07 88.83 89.50 89.55 88.73
257 372 48 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 89.51 88.12 88.66 88.78 89.32 89.31 90.13 90.24 90.68 89.76 89.95 89.88 91.42 89.74 89.73 89.99 89.33 90.67 90.84 89.50 90.74 89.69 89.64 88.30 89.70 89.40
258 372 48 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 88.68 89.21 88.54 87.43 88.09 89.38 89.24 89.95 90.61 89.20 89.20 90.18 89.61 90.27 91.11 90.88 89.51 90.38 90.71 90.25 89.36 88.79 88.51 87.68 89.94 89.11
259 372 48 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 89.89 89.24 87.92 90.22 89.16 89.50 90.53 90.10 90.42 89.79 89.28 89.91 90.78 90.83 90.12 89.94 89.52 90.69 89.73 90.30 89.45 88.55 89.97 88.76 89.76 88.33
276 372 48 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 42.66 89.45 90.01 88.03 87.73 89.68 89.10 89.21 90.77 90.40 89.76 89.99 90.33 90.11 89.61 90.30 89.96 89.45 89.11 91.11 89.90 89.22 90.19 89.18 89.96 89.22
277 372 48 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 89.64 90.79 89.79 89.85 89.83 89.17 90.65 90.99 89.54 89.65 89.64 91.41 90.66 90.32 90.51 90.35 90.90 90.67 90.11 89.50 89.59 90.46 90.53 90.44 90.09 89.10
278 372 48 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 88.88 88.64 90.72 89.55 89.04 89.66 90.23 90.69 88.86 90.22 90.86 90.26 91.85 90.49 89.90 91.11 88.74 90.90 89.29 89.61 91.13 90.35 87.74 88.29 89.27 89.62
279 372 48 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 89.25 90.29 91.28 90.47 89.64 90.60 90.47 91.01 90.24 89.71 90.61 90.00 90.72 91.18 89.80 91.14 90.59 90.50 90.11 90.49 89.53 89.14 89.61 89.13 89.94 88.93
296 372 48 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 90.12 88.99 90.58 90.26 89.49 90.37 89.91 90.55 89.71 90.13 90.67 90.15 91.90 90.75 88.75 91.15 90.73 91.42 88.61 89.96 88.78 89.72 88.99 88.45 90.77 88.93
297 372 48 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 89.80 89.93 89.39 90.08 89.92 89.62 90.88 90.85 90.87 90.39 89.87 90.85 90.86 91.15 90.11 91.01 90.22 91.11 90.85 90.62 90.59 89.73 88.55 88.59 89.17 89.90
298 372 48 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 90.46 89.76 90.35 90.23 90.03 89.71 89.64 90.24 90.69 89.38 90.55 90.01 89.67 91.14 89.95 89.13 89.28 90.60 90.07 89.97 90.15 90.24 88.85 89.36 89.10 89.61
299 372 48 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 89.57 89.59 91.05 89.87 88.65 89.37 89.22 90.92 90.19 91.35 89.15 90.19 91.47 90.84 89.44 91.34 89.51 91.23 91.14 90.65 89.76 90.08 89.86 88.79 88.57 89.12
316 372 48 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 87.31 89.47 89.08 88.54 88.22 87.91 88.09 89.36 89.31 89.00 90.25 89.72 90.10 89.98 89.48 90.94 89.65 90.38 90.96 90.16 89.97 90.36 88.04 88.61 89.36 88.17
317 372 48 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 88.79 90.39 89.95 88.99 88.18 90.26 90.17 89.37 90.12 90.77 90.09 89.61 90.57 90.76 90.25 90.88 89.92 91.09 90.13 89.22 89.50 90.46 89.50 89.45 89.75 89.15
318 372 48 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 88.86 89.87 89.45 88.57 87.76 89.90 88.94 90.72 90.89 88.71 89.94 89.94 91.56 89.19 89.50 89.67 89.37 90.10 89.70 90.21 89.93 88.50 89.24 88.31 88.95 88.61
319 372 48 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 89.53 88.56 88.26 88.68 88.03 88.55 90.15 89.67 90.48 89.64 90.61 89.31 90.64 89.68 90.30 89.31 90.44 91.00 89.74 88.97 90.39 88.56 89.32 89.09 89.93 88.82
336 372 48 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 89.93 90.54 89.26 88.65 88.09 89.32 90.03 90.78 90.83 90.88 90.05 90.81 90.32 91.17 90.28 90.07 89.77 90.85 89.26 90.87 89.35 90.40 88.10 89.37 88.91 88.63
337 372 48 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 89.19 90.45 89.00 89.96 89.72 88.22 88.88 89.93 90.43 90.37 90.05 91.19 91.48 91.43 89.28 91.41 90.86 90.04 90.54 91.04 90.88 89.65 90.33 89.29 89.58 89.26
338 372 48 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 89.24 90.62 90.80 89.54 90.55 89.39 90.62 90.22 90.55 90.02 90.47 90.53 90.11 90.36 90.25 91.04 90.17 91.09 89.05 89.51 90.26 89.11 88.70 88.24 90.64 88.71
339 372 48 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 90.87 89.29 89.36 89.95 89.04 88.79 89.96 90.11 89.31 90.60 89.62 89.81 90.48 90.71 91.58 90.90 90.06 90.77 90.95 91.14 90.36 88.91 88.14 88.79 90.30 90.09
356 372 48 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 89.72 89.07 91.72 91.07 90.18 90.26 90.74 92.28 89.34 90.56 89.56 90.44 90.54 91.45 90.47 90.54 90.34 90.20 91.06 89.96 89.54 89.33 89.56 88.95 88.81 88.54
357 372 48 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 89.78 89.58 89.95 89.80 88.50 89.22 90.30 89.94 90.38 90.21 89.85 90.41 90.71 91.07 90.78 90.95 90.25 90.80 89.85 90.73 89.67 90.55 88.00 89.92 90.40 89.53
358 372 48 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 89.43 90.08 91.76 89.70 89.90 90.21 90.32 89.67 90.16 91.03 91.23 90.10 90.51 90.33 91.62 92.21 90.27 91.30 90.62 90.27 90.10 89.83 89.62 89.59 89.65 88.81
359 372 48 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 91.54 89.85 89.48 89.52 89.50 88.36 89.38 91.46 90.40 91.22 90.06 89.96 90.62 90.93 90.62 91.72 89.54 90.92 90.05 90.41 90.34 90.05 90.17 89.38 89.47 89.40
376 372 48 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 91.44 90.75 90.40 92.35 92.51 89.96 90.55 90.05 91.11 90.17 89.63 91.24 92.20 90.89 91.12 91.64 90.84 92.22 91.99 90.94 89.86 90.14 90.06 88.56 90.89 88.86
377 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 91.56 91.91 92.04 90.64 91.37 90.23 91.76 91.36 91.08 91.14 91.77 91.13 90.26 91.77 91.49 92.25 91.87 92.43 90.16 91.44 90.50 90.61 91.21 89.60 91.15 89.77
378 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 91.40 91.50 91.35 90.69 91.50 90.42 91.63 91.32 91.18 91.40 91.41 90.54 91.13 91.94 91.41 91.91 91.47 93.03 90.51 90.92 90.00 89.79 90.45 88.95 91.19 89.22
379 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.62 92.56 90.84 91.64 91.29 91.09 90.15 90.39 92.35 90.29 90.57 91.55 91.77 90.61 90.50 91.57 91.49 91.53 90.13 91.21 89.95 91.26 90.45 90.03 91.04 88.95
396 372 48 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 89.35 91.06 90.10 91.74 90.46 91.14 90.16 89.31 89.06 91.15 90.41 91.01 91.55 90.14 91.33 91.77 90.05 90.12 91.03 91.29 90.35 90.75 90.30 88.60 90.19 90.68
397 372 48 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 90.63 91.87 90.09 92.15 90.67 89.76 90.73 91.59 90.51 90.30 90.29 91.01 91.36 91.11 91.40 92.11 91.40 92.15 90.72 91.74 90.42 89.21 90.26 88.96 90.82 89.95
398 372 48 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 91.12 90.88 89.72 90.84 90.92 90.80 90.37 89.99 90.68 90.46 90.50 90.78 89.88 91.14 91.30 91.00 90.86 92.51 91.00 91.38 90.88 90.01 90.58 90.02 89.36 88.38
399 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 92.31 92.28 90.60 92.56 91.88 91.07 90.66 90.36 90.78 89.62 91.45 90.65 89.87 90.26 90.83 91.70 92.19 90.37 90.12 90.71 91.05 90.79 88.88 90.34 90.69 90.63
416 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 91.50 91.39 92.55 90.52 90.72 90.77 90.73 91.28 89.40 89.14 90.92 91.14 89.97 92.23 90.77 91.95 91.41 91.77 89.91 92.03 91.51 90.87 88.07 89.16 89.84 90.62
417 372 48 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 89.35 91.45 91.27 90.73 89.79 90.23 91.06 91.02 89.91 90.27 90.56 90.68 91.45 90.21 91.36 91.06 90.97 90.81 90.92 90.59 88.84 90.56 89.59 90.83 90.88 90.82
418 372 48 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 90.74 91.20 90.78 91.91 90.56 90.52 90.38 89.87 90.21 91.36 91.35 90.87 91.26 89.40 91.43 90.60 91.91 90.33 91.04 90.85 91.64 90.98 88.20 89.87 91.07 90.06
419 372 48 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 90.11 91.48 91.67 91.21 90.95 89.66 88.98 91.01 90.96 90.38 91.34 89.61 91.72 90.23 89.66 91.36 90.60 91.25 91.57 91.83 89.30 91.19 89.54 89.13 90.77 89.90
436 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 91.23 89.28 90.61 91.42 91.50 90.84 91.26 90.78 89.33 91.48 91.74 91.55 91.03 91.50 90.86 91.82 92.57 92.11 91.25 91.02 90.18 90.32 90.39 90.70 89.09 90.08
437 372 48 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 91.88 92.13 91.39 91.02 90.89 90.25 90.64 90.54 90.97 91.78 89.04 91.69 91.18 91.66 89.96 90.63 89.71 91.62 90.93 91.43 90.57 89.86 90.02 88.25 90.66 90.05
438 372 48 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 91.24 92.20 90.45 90.96 91.79 90.40 90.83 89.91 90.99 90.64 89.64 90.31 90.25 91.25 90.91 91.38 90.97 92.13 91.53 91.85 90.80 90.29 90.17 89.42 89.97 90.44
439 372 48 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 91.42 91.15 89.80 90.94 91.80 91.04 91.50 90.30 90.28 91.01 90.30 91.02 91.50 90.50 91.27 90.89 90.42 90.74 90.10 91.28 90.11 90.25 90.71 90.95 90.41 90.38
456 372 48 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 90.13 92.29 91.11 90.39 92.12 91.59 91.54 89.72 90.95 89.78 90.23 91.21 91.88 91.27 90.16 89.99 89.96 91.05 91.19 90.98 89.60 89.66 91.52 89.67 90.41 88.99
457 372 48 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 90.54 90.59 92.00 91.56 91.71 89.35 90.00 89.79 90.64 90.32 91.75 91.90 92.02 91.14 90.40 91.67 90.30 91.84 90.81 91.08 89.79 89.53 90.46 88.31 91.09 88.99
458 372 48 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 89.14 90.91 90.57 91.56 91.00 89.39 90.75 90.32 89.64 89.76 90.84 90.89 91.91 90.62 90.81 91.21 91.93 91.64 91.30 91.39 89.93 90.99 90.57 89.06 91.58 90.44
459 372 48 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 89.63 90.64 89.73 91.42 89.73 90.53 90.32 90.79 90.56 91.32 91.14 90.92 92.20 90.08 90.46 91.73 91.25 90.35 91.68 91.87 90.58 90.49 89.61 90.65 90.15 89.25
476 372 48 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 90.29 90.71 91.21 90.85 90.87 90.21 89.66 91.62 90.12 89.85 89.90 91.69 90.93 89.94 91.37 90.47 90.58 90.45 91.54 91.29 89.51 90.20 89.82 88.46 91.93 90.74
477 372 48 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 91.26 90.27 90.35 89.51 92.04 90.12 89.99 91.11 91.27 89.84 91.20 90.34 92.11 90.31 90.26 90.44 91.50 90.25 91.15 91.42 90.08 90.90 88.57 89.80 91.12 89.52
478 372 48 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 90.83 91.79 89.81 90.90 91.66 89.73 91.17 91.32 90.32 91.31 90.19 91.11 91.10 90.28 90.25 90.72 91.19 90.58 90.84 91.51 90.58 91.28 90.53 90.70 90.08 90.09
479 372 48 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 91.02 90.66 89.81 90.95 89.83 91.56 90.73 89.79 90.49 90.67 90.36 90.30 92.16 91.10 90.62 90.22 92.56 91.10 91.10 91.30 89.74 90.23 90.58 90.33 91.10 88.65
496 372 48 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 89.78 91.72 90.56 91.09 91.76 89.44 91.55 90.79 91.10 91.48 90.89 90.29 90.52 90.94 91.46 90.48 91.27 92.57 90.32 91.71 90.27 90.83 90.35 89.91 89.61 90.43
497 372 48 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 90.17 91.68 90.42 90.96 90.86 90.70 91.47 90.73 90.20 90.76 89.70 89.92 91.01 90.89 91.61 89.66 92.17 90.70 90.35 92.03 89.96 91.36 91.34 88.91 91.41 91.01
498 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 89.72 91.62 90.05 92.19 91.31 89.95 91.03 90.20 89.94 91.39 90.29 91.01 92.07 90.40 92.11 92.29 92.21 90.49 92.14 91.27 90.98 89.58 90.76 89.46 90.76 90.53
499 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 90.28 90.54 91.48 92.55 91.48 91.36 90.22 90.64 91.86 91.29 90.60 91.21 90.55 91.29 92.03 90.48 91.76 91.38 91.56 91.55 91.08 89.55 90.00 90.83 90.26 89.87
516 372 48 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 90.71 90.83 90.00 91.52 90.97 90.24 89.93 90.09 89.68 90.10 90.44 90.25 92.00 91.51 89.98 90.94 90.75 91.08 91.03 91.79 90.35 89.04 89.61 89.10 89.37 90.19
517 372 48 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 89.48 90.91 90.43 91.59 90.22 90.48 89.80 90.94 89.32 89.45 91.66 91.68 90.10 90.71 90.59 90.64 89.21 90.95 90.11 91.00 90.67 90.15 89.30 89.72 91.54 89.81
518 372 48 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 91.46 91.00 90.20 91.09 92.80 89.86 89.73 92.02 90.71 91.14 89.11 90.98 90.20 90.74 91.36 90.63 91.34 91.32 90.46 90.41 90.99 90.34 90.41 89.80 90.94 89.59
519 372 48 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 89.06 92.00 90.62 91.70 90.49 91.02 90.96 90.57 90.21 90.41 90.71 89.98 91.56 91.16 90.56 91.93 92.02 91.39 90.62 90.77 90.46 89.74 90.05 89.95 90.59 90.21
536 372 48 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 90.02 90.16 90.34 90.30 91.23 89.80 90.04 91.07 90.71 90.59 90.71 90.13 90.71 90.49 90.33 90.50 91.71 90.20 91.16 90.68 91.05 89.09 90.70 89.36 90.02 90.10
537 372 48 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 88.83 88.80 90.40 89.35 90.67 89.17 90.50 90.07 89.82 90.61 89.49 89.30 90.75 90.05 90.48 90.93 88.99 91.81 89.95 90.77 90.35 90.09 88.70 89.49 89.71 88.80
538 372 48 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 89.33 91.47 90.47 89.88 91.35 89.47 90.27 91.46 90.69 89.61 90.41 91.15 91.67 89.91 90.84 91.64 91.17 91.00 90.04 90.13 90.61 90.97 90.22 91.26 89.57 88.34
539 372 48 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 91.44 90.16 90.50 91.00 89.96 90.40 91.09 89.82 90.79 90.95 91.71 89.91 91.01 90.74 90.43 90.34 91.32 89.96 91.23 90.97 89.56 90.98 89.94 89.61 89.84 90.57
556 372 48 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 89.91 91.75 91.41 91.07 91.21 90.74 91.17 91.16 90.73 89.59 90.73 90.40 92.42 90.44 91.55 90.59 90.63 91.27 91.28 91.87 90.83 90.76 90.71 90.85 90.90 89.04
557 372 48 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 91.22 91.17 90.88 91.70 91.07 90.30 90.84 90.92 90.24 90.44 90.30 91.69 91.39 89.23 91.58 91.69 90.85 89.80 90.86 92.06 89.90 90.20 89.66 90.01 91.02 90.35
558 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 90.71 92.08 92.17 92.21 91.20 90.43 89.63 89.96 91.62 90.42 90.92 91.94 92.41 90.97 90.85 91.38 91.34 89.88 90.61 92.06 91.08 90.65 90.92 89.77 90.10 90.17
559 372 48 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 91.48 90.62 90.50 92.87 91.06 91.40 90.45 90.28 90.78 90.41 89.32 90.91 91.90 90.40 90.43 92.06 89.36 92.28 92.12 90.98 90.72 89.59 89.75 89.18 90.04 89.93
576 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 89.95 91.53 90.64 91.69 92.02 89.86 91.11 90.61 89.22 89.63 90.44 91.46 91.48 91.54 90.87 92.20 91.88 91.28 91.70 89.57 91.69 90.25 89.59 90.89 90.15 90.92
577 372 48 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 92.57 90.50 91.53 90.02 90.30 91.20 91.14 90.00 90.21 89.86 90.75 90.74 90.57 89.61 90.87 91.22 91.74 91.16 90.53 91.09 91.24 91.10 89.77 90.68 91.23 89.39
578 372 48 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 90.30 91.31 91.08 90.71 91.15 89.75 90.28 90.95 90.41 90.10 91.30 90.03 90.75 90.58 90.71 89.86 90.96 91.26 90.06 90.94 90.05 89.42 89.13 90.39 90.57 89.57
579 372 48 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 89.70 91.12 91.74 91.78 91.30 90.96 89.68 91.39 89.87 90.60 90.60 90.90 92.23 90.19 90.10 91.55 90.90 91.72 90.40 91.28 90.21 90.78 89.65 90.54 89.57 90.42
596 372 48 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 90.67 90.60 89.24 90.60 89.41 89.87 89.85 90.75 91.15 89.70 90.25 91.20 90.19 89.63 90.06 91.62 90.36 89.75 90.22 91.37 89.80 90.05 90.33 90.59 89.72 89.34
597 372 48 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 90.16 90.97 90.39 92.00 89.89 91.65 89.81 90.33 90.26 90.95 91.01 91.81 91.23 90.40 92.14 91.47 91.66 90.93 91.31 90.66 91.01 90.84 90.55 89.66 91.83 90.12
598 372 48 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 91.92 89.65 90.33 89.40 90.92 89.06 90.30 90.77 90.47 91.20 90.33 90.51 91.65 90.81 90.48 91.87 91.43 90.91 90.17 91.88 89.60 90.07 90.53 90.75 89.57 88.56
599 372 48 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 89.24 91.29 90.44 91.20 90.80 90.27 91.23 90.70 90.49 90.87 91.88 92.11 89.95 90.07 91.28 90.69 90.85 90.75 90.23 91.62 90.18 91.70 89.51 90.66 90.49 88.84
616 372 48 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 89.45 91.28 91.18 90.63 90.42 90.32 91.74 90.22 90.45 90.52 90.78 90.64 90.97 90.08 89.54 91.66 91.60 91.69 91.41 91.17 89.04 89.82 89.91 90.71 90.72 89.72
617 372 48 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 90.48 91.19 90.08 91.12 91.79 91.09 91.31 89.20 91.21 90.85 90.44 91.79 91.55 89.76 90.56 91.38 91.91 91.81 91.10 91.65 90.69 90.18 90.65 88.80 89.52 89.17
618 372 48 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 91.60 91.69 90.15 90.60 90.77 89.61 91.16 90.47 90.49 90.16 90.37 90.86 91.19 90.69 89.28 91.63 92.23 91.82 91.10 92.32 90.75 89.06 90.38 89.17 90.02 89.17
619 372 48 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 90.89 90.08 91.18 91.57 89.94 89.73 90.54 90.31 90.12 90.08 90.08 90.11 90.81 91.05 92.17 91.94 91.83 91.51 91.69 91.53 90.15 90.78 90.58 90.45 90.52 89.61
636 372 48 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 90.08 91.83 90.89 92.23 91.09 89.61 90.98 90.16 89.95 90.70 90.45 91.18 91.02 90.77 90.68 90.69 91.36 91.77 90.85 90.68 90.24 89.59 88.27 88.88 90.17 89.92
637 372 48 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 91.15 91.73 89.60 92.12 91.56 90.36 90.96 90.03 90.91 90.46 90.99 91.61 91.38 91.56 91.31 91.22 90.97 90.64 91.45 90.78 90.19 89.72 90.05 89.58 89.34 90.06
638 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 90.73 91.68 90.32 90.66 91.62 91.43 89.78 91.51 90.66 90.35 90.70 91.29 91.52 90.67 90.80 91.76 91.89 91.83 91.81 90.11 91.00 90.94 90.01 90.76 91.14 90.84
639 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 89.24 90.84 90.40 91.13 91.27 92.25 90.78 90.94 91.54 90.71 91.04 92.05 91.51 89.95 91.22 92.32 92.12 89.35 91.63 91.76 90.10 91.31 90.76 89.94 90.28 90.18
656 372 48 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 90.55 90.68 90.44 90.32 90.66 90.24 91.10 89.79 90.69 90.50 91.20 91.54 91.68 90.20 91.12 90.62 90.92 91.91 90.45 90.99 90.86 91.00 90.06 89.77 90.77 89.74
657 372 48 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 90.36 91.46 91.24 91.51 91.77 90.31 90.67 90.32 90.39 90.04 90.87 90.70 90.46 89.70 90.62 90.70 90.78 90.57 91.09 90.52 90.68 91.21 89.38 90.86 89.47 90.34
658 372 48 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 90.27 91.46 90.58 91.30 90.45 91.12 91.12 91.22 89.87 90.39 91.48 90.83 91.43 89.95 91.09 92.56 91.30 90.06 90.23 90.78 89.79 90.40 91.09 90.73 90.37 91.89
659 372 48 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 90.64 90.99 91.62 90.23 89.90 91.12 90.50 91.19 89.78 90.09 90.81 91.43 91.01 90.54 91.12 91.27 91.28 91.37 90.82 91.40 90.24 91.61 90.00 89.12 90.49 90.54
676 372 48 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 91.05 89.86 90.50 91.01 91.40 90.89 90.68 90.21 91.55 91.80 90.78 90.69 92.45 90.49 90.19 90.96 92.21 92.13 91.27 91.83 90.82 90.48 90.03 89.36 90.12 90.05
677 372 48 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 91.26 90.84 90.40 90.96 91.75 90.73 90.53 90.55 90.69 90.79 90.84 90.52 91.73 89.67 89.52 90.56 91.00 92.79 92.04 92.03 89.87 89.55 90.84 90.53 91.13 88.61
678 372 48 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 91.23 91.05 91.10 91.33 91.59 90.89 90.55 90.21 89.89 90.67 91.22 89.95 91.32 90.63 90.15 90.20 92.35 90.27 91.25 91.31 89.91 88.71 90.63 89.36 89.94 89.52
679 372 48 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 90.78 91.59 89.97 91.30 91.08 90.25 91.99 91.87 89.91 91.46 91.32 91.38 90.98 90.49 91.32 90.68 90.33 90.65 91.46 91.19 90.59 89.34 90.19 89.17 89.41 90.56


input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
16 372 48 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 93.97 94.21 94.57 94.17 94.51 95.33 93.93 94.54 94.51 94.73 93.51 93.80 95.13 94.19 93.89 94.89 95.67 94.41 93.88 94.61 94.92 94.63 94.51 94.69 94.88 94.05
17 372 48 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 94.58 93.93 93.77 93.15 94.01 93.76 92.63 94.54 93.15 93.70 94.41 94.07 94.44 94.89 94.01 94.84 94.16 94.99 94.84 93.93 94.59 94.46 94.66 94.68 94.37 94.18
18 372 48 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 94.87 94.12 93.50 94.04 93.27 94.55 93.64 49.17 93.22 95.41 90.30 94.24 94.42 94.98 94.31 96.36 95.94 93.84 93.91 93.63 49.17 93.70 94.28 94.68 93.90 94.60
19 372 48 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 92.88 93.15 94.75 93.40 93.86 93.99 94.72 94.77 94.09 95.64 94.26 93.60 94.69 95.05 95.04 94.38 94.85 95.07 94.41 95.13 93.65 49.17 95.61 93.79 92.94 94.80
36 372 48 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 94.33 94.28 94.89 94.02 94.10 94.60 94.41 95.61 94.82 94.29 95.52 94.39 94.67 95.19 94.53 94.64 94.21 94.31 93.50 94.79 95.13 94.12 95.03 95.46 95.56 95.10
37 372 48 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 94.54 93.62 94.69 93.67 49.17 94.10 94.85 94.20 95.05 92.99 94.93 94.64 95.53 93.40 93.53 94.77 94.58 94.26 93.15 94.36 94.67 94.61 94.55 94.84 94.57 93.69
38 372 48 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 94.69 93.97 93.12 93.40 94.69 94.78 96.31 95.26 93.58 93.27 95.06 94.17 95.52 93.68 94.82 95.29 95.70 94.69 95.46 94.54 94.05 92.66 94.49 94.42 95.54 94.15
39 372 48 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 94.99 93.01 95.85 95.34 93.62 93.29 94.98 93.48 94.60 94.63 94.23 93.56 94.10 94.06 94.06 94.88 94.84 94.54 93.34 93.05 94.87 94.28 95.24 94.05 95.56 93.83
56 372 48 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 95.54 93.57 94.84 95.09 95.96 93.99 94.01 94.37 93.99 93.75 94.06 94.11 95.15 94.45 94.33 95.55 94.82 94.27 93.74 94.52 94.73 94.54 95.17 94.12 95.37 94.38
57 372 48 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 95.55 94.62 95.80 94.35 94.61 49.17 94.95 94.17 94.51 94.40 93.05 94.12 93.59 94.51 94.12 94.61 95.15 95.86 94.40 93.82 93.61 93.14 94.29 95.03 93.84 94.21
58 372 48 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 95.41 94.18 93.35 94.29 93.64 94.32 94.36 95.11 94.37 93.84 94.88 93.28 93.22 49.17 49.17 94.85 93.88 94.75 94.11 95.35 94.88 95.19 93.20 94.66 94.77 94.37
59 372 48 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 95.23 95.07 94.30 93.56 94.95 94.70 95.60 94.49 94.13 94.67 94.44 94.09 95.48 94.29 94.04 95.12 94.69 94.21 93.33 92.83 94.82 93.47 94.27 94.41 94.41 95.06
76 372 48 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 94.41 94.01 95.70 94.69 93.41 94.30 93.91 94.60 94.36 94.43 94.60 94.07 94.12 95.77 94.91 94.63 94.98 94.87 93.46 93.46 95.16 93.72 94.33 93.94 94.43 95.57
77 372 48 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 94.58 49.17 95.55 92.77 93.52 94.63 94.00 95.31 93.61 93.50 94.03 93.93 94.83 93.86 94.12 93.96 95.16 93.90 95.20 94.18 95.39 95.92 94.38 94.74 95.57 95.72
78 372 48 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 94.36 95.34 93.97 92.78 93.24 93.88 93.54 93.55 92.60 93.91 94.62 94.17 94.76 94.07 93.51 93.24 94.28 94.19 94.84 94.36 94.65 93.81 94.93 94.80 93.92 93.60
79 372 48 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 95.23 93.67 94.34 92.51 93.70 93.97 93.14 93.68 94.34 93.72 93.14 94.62 94.59 93.63 94.71 93.07 93.79 93.96 93.51 95.50 94.26 94.17 94.26 94.33 95.43 93.46
96 372 48 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 95.58 94.74 95.47 94.84 94.50 92.28 94.20 93.64 94.47 95.45 94.97 94.74 94.08 94.50 94.03 93.41 96.57 95.58 93.64 93.87 95.11 93.89 95.78 94.19 93.94 94.86
97 372 48 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 94.67 95.37 95.16 94.62 94.94 94.65 94.51 93.24 93.41 93.98 94.43 93.40 94.53 93.73 93.39 95.37 95.12 94.06 93.41 94.61 94.31 95.25 94.39 94.51 94.47 94.59
98 372 48 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 94.00 95.22 95.32 94.14 94.79 94.44 94.89 94.14 94.33 94.72 94.09 94.76 95.73 94.35 94.39 94.72 93.83 94.91 93.77 94.24 94.52 95.03 94.53 95.27 94.20 95.20
99 372 48 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 95.04 95.70 95.30 93.93 95.01 92.58 93.55 94.35 94.42 94.11 95.26 94.16 93.77 94.82 94.32 93.89 95.20 94.35 94.64 93.63 95.32 94.76 95.02 94.74 93.38 94.00
116 372 48 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 95.84 94.86 93.11 94.83 93.44 93.00 93.42 94.09 93.45 93.92 95.29 93.95 95.07 94.70 94.77 93.31 95.23 94.80 93.49 94.13 95.16 93.03 92.72 95.53 94.64 93.84
117 372 48 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 94.49 95.75 94.42 94.58 94.58 94.97 94.31 93.80 94.22 94.14 93.94 93.90 94.17 92.94 93.07 93.93 93.90 93.56 94.27 94.40 96.33 93.24 94.34 94.57 94.83 94.25
118 372 48 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 95.68 94.64 93.63 94.60 94.32 94.52 94.14 93.94 94.06 94.74 93.94 94.21 94.88 93.76 93.47 94.39 93.88 93.18 93.14 94.33 94.53 94.38 94.84 94.08 93.46 94.60
119 372 48 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 93.77 94.52 94.52 93.32 94.81 93.67 94.84 93.72 94.60 94.33 93.63 92.89 94.12 92.30 93.10 95.29 93.84 95.13 94.83 93.80 95.48 93.52 95.31 94.59 93.96 94.48
136 372 48 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 94.83 94.82 94.35 93.51 94.27 94.09 93.66 94.60 95.61 94.37 94.21 95.29 94.77 94.48 94.03 95.41 94.81 93.24 94.46 93.65 94.82 94.59 94.25 94.20 94.66 94.65
137 372 48 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 93.37 94.70 95.12 95.52 95.61 95.27 94.51 94.58 94.14 94.91 94.95 94.56 94.04 94.22 94.08 94.50 94.47 95.01 95.00 94.39 95.49 94.77 94.75 94.55 93.55 94.35
138 372 48 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 94.01 94.47 94.17 93.66 94.28 93.40 95.16 49.17 93.81 93.71 93.07 95.10 94.92 93.38 94.62 94.15 93.40 95.00 93.98 95.14 95.24 93.97 94.88 94.27 95.48 93.80
139 372 48 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 94.09 93.67 93.90 93.84 93.48 94.00 93.82 93.77 93.32 93.23 93.84 93.86 94.77 93.81 93.67 94.79 94.73 94.56 93.34 94.49 95.39 95.98 94.85 95.58 94.93 94.01
156 372 48 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 95.69 95.63 95.57 95.18 93.75 93.52 93.77 94.37 93.95 94.66 94.96 93.73 95.16 94.65 93.92 93.60 94.01 95.73 93.16 94.67 95.18 95.81 94.07 94.94 94.65 95.05
157 372 48 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 94.65 94.10 96.30 94.63 94.28 94.06 93.55 92.59 94.75 94.42 94.15 93.59 94.43 94.62 94.52 95.11 95.34 94.27 93.55 93.84 95.25 94.40 95.33 95.00 95.26 93.75
158 372 48 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 94.13 95.27 94.06 94.04 95.13 92.82 93.65 94.36 94.96 94.01 92.76 94.20 94.41 94.12 92.89 94.31 94.60 95.97 93.01 93.69 96.25 95.13 95.32 93.83 94.13 93.66
159 372 48 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 93.97 93.86 94.73 93.56 94.32 93.52 93.88 93.66 94.38 93.80 94.41 93.94 95.01 93.79 95.31 94.40 94.22 94.72 94.35 94.28 94.94 94.50 95.02 93.08 94.98 93.96
176 372 48 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 94.77 94.17 94.86 93.93 93.87 93.33 94.45 93.55 94.36 93.82 93.24 93.31 94.33 94.17 92.68 94.55 95.42 93.76 95.14 95.38 94.75 94.47 95.05 93.99 94.46 93.72
177 372 48 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 95.63 94.19 94.83 94.49 94.15 93.95 94.76 93.77 94.47 93.23 94.83 93.77 93.64 93.08 93.20 95.04 94.31 93.32 94.25 93.70 94.83 94.94 94.12 92.66 93.52 94.79
178 372 48 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 94.23 93.83 92.51 94.06 95.65 94.29 94.08 93.76 93.46 94.53 93.88 94.72 93.67 94.22 94.25 95.02 94.61 94.94 94.40 93.62 94.08 93.13 94.71 95.81 95.60 92.45
179 372 48 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 94.27 93.57 95.06 93.84 94.13 93.08 94.92 94.45 94.42 93.88 94.26 93.96 93.41 93.79 94.57 93.48 94.26 93.90 94.45 92.05 94.41 94.33 94.56 93.98 95.25 93.97
196 372 48 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 94.34 94.08 95.25 94.19 94.98 94.00 94.61 93.83 94.58 93.82 93.10 94.71 94.61 94.21 92.16 95.10 96.03 94.70 94.01 93.81 95.61 95.37 94.65 94.85 94.23 94.90
197 372 48 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 95.24 94.41 94.83 94.59 94.59 92.66 94.86 95.00 95.23 95.07 93.71 94.77 95.00 94.94 93.32 94.87 93.36 93.23 93.24 94.77 94.50 94.13 95.19 94.60 94.32 93.67
198 372 48 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 94.23 94.51 95.05 93.95 94.45 94.76 94.99 95.08 94.14 93.61 94.95 95.27 95.73 94.23 94.78 95.10 93.96 95.65 94.78 94.34 95.81 94.63 94.77 94.39 94.29 93.70
199 372 48 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 94.20 93.98 94.07 94.99 94.64 95.03 94.09 94.29 93.35 92.97 94.41 93.95 93.42 93.93 94.01 93.54 94.56 93.89 94.88 94.14 94.78 94.45 95.18 94.19 94.38 94.61
216 372 48 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 95.43 95.02 95.14 94.23 94.38 93.76 93.69 95.15 94.03 94.59 93.87 95.23 95.65 94.74 94.63 95.18 93.85 94.34 95.69 94.00 95.04 94.52 94.76 94.28 94.55 94.33
217 372 48 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 95.25 94.36 94.85 93.56 94.81 93.97 93.59 93.01 92.48 93.29 94.86 93.88 95.47 94.54 94.17 93.25 93.72 94.98 93.43 94.90 95.02 95.73 94.27 93.38 94.32 94.19
218 372 48 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 95.17 95.21 94.68 93.83 94.38 92.86 94.42 94.47 92.93 94.61 93.96 95.20 95.32 94.72 92.35 95.29 94.80 94.85 93.67 94.58 94.29 94.11 94.69 93.67 94.60 94.54
219 372 48 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 95.72 94.33 94.82 94.09 94.51 93.53 95.28 93.52 93.62 95.13 94.05 94.84 94.37 94.22 94.07 94.74 93.99 94.48 93.20 95.20 94.24 93.63 94.62 94.34 93.69 93.48
236 372 48 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 94.06 95.05 95.14 94.15 94.92 93.00 95.46 94.78 93.97 93.96 94.82 93.51 94.70 95.50 92.98 95.23 94.51 94.24 93.92 94.60 94.96 95.18 94.05 93.15 95.34 94.63
237 372 48 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 94.39 94.68 95.57 94.56 94.68 92.91 95.17 94.61 94.82 94.65 93.95 94.59 94.99 95.33 93.60 95.55 94.77 93.89 94.54 94.14 95.31 94.13 95.24 94.59 94.90 94.60
238 372 48 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 95.23 94.32 95.40 94.87 94.37 93.85 95.80 93.77 94.99 93.27 93.62 94.12 94.19 93.91 93.85 95.58 94.80 94.75 93.46 93.15 95.33 94.45 94.52 95.04 94.57 92.65
239 372 48 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 94.60 93.72 95.48 93.76 95.25 93.34 94.74 95.31 94.71 95.23 94.30 93.32 95.73 93.86 92.39 93.92 95.75 94.30 93.54 94.31 95.63 94.10 94.03 94.50 94.60 94.55
256 372 48 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 93.89 94.35 94.37 93.76 93.24 95.06 93.55 94.45 93.66 93.61 95.12 95.26 93.88 95.15 94.37 95.04 95.16 94.55 94.26 93.98 94.01 94.36 95.57 94.46 95.79 94.38
257 372 48 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 95.21 94.12 94.92 94.91 94.19 94.03 94.62 94.33 94.67 93.59 94.85 95.41 94.36 94.30 93.82 93.73 92.96 93.76 93.52 92.60 94.23 93.85 94.38 94.07 95.24 95.32
258 372 48 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 94.94 95.40 93.50 93.81 94.69 94.39 94.06 95.11 95.01 95.12 94.67 93.89 93.67 94.15 93.32 95.10 93.69 94.29 95.30 93.84 94.85 94.72 95.21 94.76 94.23 94.17
259 372 48 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 94.04 94.89 95.31 94.89 96.01 93.62 94.17 93.94 94.94 94.87 94.94 94.95 94.37 94.42 93.73 94.81 94.85 95.12 94.89 94.51 94.94 94.30 95.02 94.76 94.25 93.97
276 372 48 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 49.17 94.48 94.28 93.79 93.20 95.17 93.86 94.78 94.73 93.60 94.10 93.71 93.96 93.15 92.88 94.84 95.36 92.43 93.04 93.24 94.63 94.17 95.98 94.77 94.48 93.65
277 372 48 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 96.41 95.06 94.28 94.56 95.61 92.39 93.86 94.75 92.87 94.36 93.95 95.53 94.97 94.61 94.80 94.12 94.35 94.63 94.76 94.22 95.43 95.82 94.31 93.52 94.89 94.22
278 372 48 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 94.39 94.01 94.74 93.76 94.33 94.32 94.36 95.23 95.72 94.46 94.81 94.09 95.57 94.45 93.78 95.04 95.24 95.17 94.18 93.28 95.16 95.17 94.55 94.77 94.64 95.53
279 372 48 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 94.17 94.05 95.25 95.19 95.05 93.09 93.32 93.26 94.77 94.73 95.24 94.87 95.13 95.39 95.04 94.29 96.04 94.83 94.06 94.46 94.23 94.83 94.90 94.12 95.40 93.79
296 372 48 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 94.89 93.70 95.12 95.01 94.99 93.97 95.17 94.82 94.61 94.14 94.77 93.81 95.43 95.56 93.90 93.36 95.76 93.93 92.61 93.47 94.98 94.55 95.13 94.42 94.40 93.58
297 372 48 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 93.75 94.55 95.26 94.35 94.13 92.64 94.61 94.29 94.77 93.39 93.15 94.25 94.86 94.63 93.95 94.51 93.94 93.65 93.56 94.24 94.50 94.65 95.55 93.45 94.35 94.52
298 372 48 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 94.62 94.97 95.30 93.32 95.24 93.63 94.95 92.99 94.35 94.15 95.09 93.63 93.23 95.08 93.76 94.63 95.01 93.21 94.34 93.37 95.66 95.42 94.48 94.80 95.64 93.70
299 372 48 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 94.41 94.55 95.94 94.07 93.72 94.55 93.47 94.76 94.38 94.49 94.18 94.04 93.73 93.93 93.65 95.15 93.85 93.73 92.35 93.70 94.77 95.07 94.42 95.05 95.53 94.66
316 372 48 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 94.22 93.84 93.97 93.95 93.21 93.57 93.69 94.18 93.57 93.43 96.07 94.67 94.23 94.11 94.55 95.08 93.17 92.62 94.71 94.34 95.04 93.67 95.21 94.31 94.69 94.30
317 372 48 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 94.13 95.00 94.01 93.96 94.88 94.76 93.49 94.50 94.30 95.82 93.49 95.22 93.61 94.78 94.08 94.45 95.40 93.64 93.49 94.60 95.15 94.68 94.73 94.45 95.18 94.47
318 372 48 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 95.24 94.17 94.28 94.02 95.01 94.19 93.90 93.65 93.77 92.18 95.18 94.88 93.52 93.98 93.04 93.41 93.00 92.86 93.46 94.19 94.63 94.24 95.23 94.30 93.63 94.62
319 372 48 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 94.04 94.87 95.20 94.11 94.38 93.61 93.90 93.90 94.23 93.91 93.65 94.60 95.38 94.36 94.99 93.88 94.99 94.69 94.93 92.63 95.84 94.41 94.82 95.91 95.82 94.61
336 372 48 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 94.63 94.51 93.05 93.96 93.84 94.56 94.30 92.93 94.59 94.61 93.80 94.62 95.64 95.35 94.22 93.87 94.94 93.50 94.05 94.04 94.59 94.81 93.24 94.54 95.71 94.11
337 372 48 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 94.21 93.90 95.86 94.26 94.12 93.19 93.85 94.15 94.21 94.04 93.68 93.85 94.60 94.33 93.96 94.48 95.06 94.56 93.47 94.76 95.50 95.41 94.50 95.14 94.57 94.52
338 372 48 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 94.26 95.48 96.09 92.83 94.36 93.03 94.12 95.12 94.88 94.91 94.36 93.34 94.85 93.76 94.41 93.52 93.63 93.82 94.15 94.72 95.25 94.30 94.71 95.04 96.05 92.84
339 372 48 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 94.72 94.91 96.05 94.73 95.19 94.37 94.17 92.69 94.96 93.99 94.84 95.33 94.36 93.99 94.48 93.90 94.81 94.29 95.43 94.75 94.47 93.93 94.15 93.62 95.04 95.21
356 372 48 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 94.37 94.53 95.04 94.16 94.20 94.02 94.08 93.97 93.24 94.43 93.84 94.02 94.33 94.73 92.87 94.13 95.13 94.14 94.93 93.64 94.21 94.91 95.28 94.42 94.48 94.75
357 372 48 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 95.55 94.89 95.05 93.77 93.18 93.47 94.47 94.54 94.51 94.89 94.17 94.60 95.30 94.12 93.65 93.17 94.84 93.89 94.66 93.57 95.78 94.80 94.10 94.91 94.16 93.30
358 372 48 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 94.82 94.45 95.21 94.61 94.23 92.49 93.94 94.16 93.89 94.08 94.35 93.34 94.76 93.92 93.20 94.86 94.45 93.38 94.12 93.41 94.21 95.34 94.98 93.30 95.67 93.43
359 372 48 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 93.81 94.36 94.22 93.55 95.31 93.43 93.98 95.55 95.76 93.58 93.69 94.85 93.85 94.78 93.89 94.88 93.89 94.34 94.08 94.04 95.00 94.68 95.45 93.91 94.59 93.33
376 372 48 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 91.88 93.16 93.67 92.62 93.22 92.33 92.97 92.93 93.43 93.19 92.70 92.31 93.15 93.36 93.34 93.27 93.19 93.38 93.42 92.78 93.13 94.44 94.53 92.56 93.32 91.76
377 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 94.06 93.03 93.30 92.86 93.31 92.88 92.83 92.86 91.59 93.92 92.54 91.47 92.51 93.39 92.33 92.96 93.40 92.47 92.81 92.50 93.42 93.61 95.56 91.67 93.46 92.30
378 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 92.76 93.27 92.86 93.09 92.70 94.10 91.45 91.13 92.31 91.78 93.68 92.65 92.64 92.39 93.03 93.95 92.86 93.62 93.42 92.85 93.75 92.80 91.64 92.11 93.76 91.69
379 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.87 94.33 91.34 92.61 93.86 92.95 92.20 92.89 92.28 92.73 93.85 93.11 91.42 92.42 91.80 92.19 93.25 92.50 93.27 93.92 93.56 92.54 93.29 93.30 92.06 89.74
396 372 48 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 91.22 92.26 92.50 93.24 92.97 93.16 91.90 90.87 91.27 92.65 90.73 91.53 92.04 94.14 93.65 93.23 92.58 93.87 93.62 91.58 92.47 93.89 92.93 91.12 91.56 92.03
397 372 48 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 92.87 93.32 92.63 92.88 93.70 92.33 92.58 92.28 92.50 93.52 91.78 91.38 92.42 92.96 92.28 93.27 92.17 93.05 92.52 92.71 95.09 93.37 94.68 91.69 92.21 91.33
398 372 48 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 91.67 93.55 91.61 93.15 93.36 92.54 92.39 92.04 90.89 92.46 93.66 91.48 92.68 92.75 91.83 93.47 92.62 92.36 94.05 93.37 92.71 92.42 91.83 92.60 92.79 89.94
399 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 94.12 92.66 94.36 93.23 93.44 91.95 93.35 92.16 93.10 93.39 93.76 93.82 92.62 92.80 93.10 92.14 93.48 94.15 92.49 93.53 93.89 93.16 90.82 93.22 92.94 92.53
416 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 92.71 92.79 93.85 93.45 93.01 93.41 93.25 92.63 93.10 93.05 92.78 92.36 90.83 92.96 92.00 93.90 93.10 93.41 91.97 93.70 94.36 94.81 92.75 92.27 93.52 91.84
417 372 48 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 92.87 93.40 94.74 93.57 93.59 92.89 92.48 93.85 92.34 92.19 94.21 91.23 91.74 93.64 92.39 92.71 92.42 94.10 93.32 92.62 93.46 93.42 94.44 93.22 93.88 93.06
418 372 48 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 92.57 93.99 93.83 93.67 93.87 93.14 92.56 91.90 92.92 93.21 93.64 92.02 91.88 93.55 92.20 93.27 92.21 93.72 94.26 92.35 94.16 94.77 92.23 90.52 92.52 91.09
419 372 48 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 93.71 92.78 94.50 92.04 92.96 91.80 92.90 93.19 93.09 93.21 93.56 92.38 92.70 93.47 92.88 93.92 92.75 94.57 92.13 93.83 92.98 94.62 91.77 93.19 93.27 93.49
436 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 93.34 92.04 92.48 92.99 93.43 93.38 92.89 91.90 92.11 93.23 92.46 93.23 93.54 92.79 92.48 92.74 93.79 93.73 93.19 92.15 93.24 92.94 93.41 92.79 91.18 92.32
437 372 48 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 91.18 93.65 92.93 93.82 93.79 91.92 92.82 93.78 92.28 92.23 92.72 93.42 91.06 93.34 91.12 92.28 91.67 92.87 92.48 92.61 94.68 93.87 93.49 91.22 91.69 92.44
438 372 48 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 92.72 94.31 94.34 92.00 93.13 92.80 92.83 93.20 92.10 93.18 92.78 92.08 92.30 92.31 91.64 92.85 92.66 93.51 92.77 93.57 93.36 93.58 93.84 92.15 93.13 92.03
439 372 48 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 92.16 94.04 93.30 92.89 92.04 92.39 92.39 92.27 91.47 92.30 92.57 92.04 92.24 93.63 91.61 93.07 92.80 92.40 92.85 93.42 92.50 92.89 93.83 92.32 93.23 92.61
456 372 48 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 92.24 93.91 93.19 91.95 92.61 92.90 91.78 92.23 92.31 93.37 93.04 93.13 92.24 93.26 92.24 94.03 92.72 93.10 93.19 93.19 92.77 93.76 93.44 91.89 93.33 91.50
457 372 48 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 92.07 93.08 93.35 92.77 92.55 92.41 93.32 92.63 91.60 92.58 94.10 91.80 92.92 93.46 92.44 92.92 93.24 94.44 92.93 92.87 92.93 93.55 94.56 93.03 92.81 92.91
458 372 48 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 92.66 93.47 93.43 92.41 92.08 92.05 92.07 92.73 91.74 91.05 93.10 92.95 92.38 93.54 91.63 92.73 92.45 92.15 93.16 91.80 92.07 93.70 92.82 92.52 92.92 93.05
459 372 48 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 92.86 93.48 92.90 93.14 93.91 92.78 92.56 93.74 92.49 92.56 91.86 92.99 92.37 93.51 92.84 93.37 93.76 93.28 93.35 93.08 93.71 92.88 92.64 91.74 91.90 91.73
476 372 48 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 94.59 94.05 93.71 93.51 93.29 92.91 92.07 93.25 93.00 92.31 93.51 93.33 92.62 93.27 92.69 92.22 92.93 92.62 93.48 92.05 93.91 93.62 93.58 92.13 92.72 92.26
477 372 48 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 93.56 93.23 93.06 91.48 93.45 93.52 92.75 93.79 93.35 93.02 92.76 92.34 91.99 93.55 91.19 93.20 92.75 92.86 93.57 93.71 92.84 93.17 94.15 90.54 93.60 91.58
478 372 48 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 92.52 93.44 94.35 91.48 93.51 92.45 93.00 93.08 93.22 93.73 92.88 93.47 92.14 94.06 92.78 93.26 93.13 92.48 93.42 93.99 93.20 93.56 93.05 92.67 93.41 92.03
479 372 48 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 94.06 94.06 93.18 92.62 93.23 93.08 91.67 92.84 92.40 91.30 92.70 92.22 91.60 93.98 92.77 92.34 92.70 93.61 94.12 92.28 93.66 93.14 94.14 92.44 95.13 91.72
496 372 48 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 91.48 93.25 91.01 93.62 93.12 92.53 93.08 91.93 93.18 92.54 91.84 92.57 92.98 93.15 92.57 92.47 93.36 93.48 91.94 93.93 92.97 92.34 91.65 91.58 91.58 91.73
497 372 48 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 91.20 92.46 92.61 92.82 93.42 91.79 92.71 92.49 91.62 91.87 93.09 92.03 92.60 93.49 92.70 94.42 92.56 92.59 93.19 92.61 93.78 94.09 93.19 92.41 92.42 92.34
498 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 89.81 92.88 92.63 91.81 92.51 93.20 90.97 91.92 90.86 91.83 92.96 93.71 93.21 92.71 93.43 92.06 92.65 91.45 93.10 92.22 93.16 92.05 92.55 94.07 93.21 91.81
499 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 90.70 93.28 92.54 92.35 93.27 92.11 93.23 91.32 92.20 92.21 92.90 92.10 93.11 94.07 91.97 93.41 94.31 93.89 92.78 93.36 92.09 91.71 90.77 93.52 91.59 90.22
516 372 48 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 91.91 92.95 93.84 93.75 92.79 93.02 92.59 92.42 91.01 92.34 92.76 91.88 92.79 93.66 92.34 93.16 93.85 94.24 93.50 93.28 94.43 93.19 92.85 92.95 91.98 93.41
517 372 48 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 92.86 92.47 92.87 92.55 92.20 92.38 93.21 92.13 92.49 92.92 92.05 92.16 92.62 93.11 93.58 92.99 93.87 93.11 90.75 93.11 92.69 94.22 92.78 93.06 92.86 90.29
518 372 48 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 92.30 92.79 94.55 92.92 93.95 92.66 91.72 92.73 91.94 94.01 93.12 92.82 90.77 93.35 91.82 93.26 92.24 93.27 92.97 91.29 91.28 92.98 92.77 92.21 92.93 92.04
519 372 48 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 93.22 92.88 93.21 92.78 93.66 93.31 92.28 92.68 92.33 91.83 93.04 90.18 93.07 93.66 92.89 93.00 93.20 92.31 93.42 92.20 93.56 92.55 92.88 90.98 91.10 92.53
536 372 48 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 92.40 92.85 94.03 92.90 94.80 92.58 92.41 93.35 93.44 93.36 93.44 92.14 92.73 93.30 92.68 93.51 93.25 92.53 94.00 92.79 94.07 94.33 93.27 91.82 92.87 91.39
537 372 48 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 92.38 92.22 93.31 92.26 91.51 90.66 92.98 93.84 91.89 93.30 92.90 91.54 92.83 91.70 90.82 92.18 93.42 93.79 93.02 90.39 93.50 92.80 93.58 92.43 93.46 91.48
538 372 48 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 92.87 93.23 92.21 93.01 93.01 93.04 93.34 92.27 93.89 92.79 93.15 92.11 93.26 92.18 92.94 93.53 93.16 94.38 93.78 91.90 94.59 93.66 92.80 92.37 93.29 91.14
539 372 48 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 93.90 93.55 93.79 93.44 92.98 94.18 92.14 92.80 93.02 92.34 93.72 92.39 91.53 92.55 92.95 94.26 93.13 92.02 94.89 92.52 93.77 93.93 93.78 93.51 92.75 92.55
556 372 48 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 92.53 92.73 93.53 92.37 92.89 92.77 92.35 93.07 92.29 91.77 92.83 90.44 92.99 92.71 92.41 93.49 93.08 92.91 92.84 91.53 91.85 92.82 92.45 93.04 91.98 92.01
557 372 48 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 93.18 92.70 93.43 94.63 93.58 91.84 92.50 92.43 92.18 92.22 92.33 91.88 93.36 93.75 92.34 93.20 93.11 91.63 92.93 91.84 94.36 93.32 94.03 92.33 92.85 92.25
558 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 93.33 93.03 93.82 93.62 92.96 92.17 92.66 92.43 91.69 92.99 92.75 92.20 93.16 93.10 92.19 92.92 92.78 91.50 92.74 92.77 93.49 90.10 92.92 91.99 92.61 90.62
559 372 48 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 92.18 93.06 92.83 93.29 93.17 93.09 93.20 92.51 91.59 91.58 92.51 92.60 92.97 93.94 92.62 93.69 91.85 93.86 94.35 92.73 94.58 94.92 93.37 92.19 92.14 91.99
576 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 93.26 93.92 92.96 93.47 94.30 91.66 92.92 92.71 92.63 92.33 92.48 93.80 91.47 93.82 92.17 93.05 93.07 93.07 93.26 93.08 92.90 93.05 93.92 93.34 92.59 92.03
577 372 48 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 92.92 92.59 94.01 92.44 92.84 93.64 90.82 93.23 92.64 92.16 92.95 93.61 91.07 92.62 92.25 92.49 92.99 93.33 93.60 94.34 93.28 92.93 94.23 93.00 92.94 90.69
578 372 48 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 93.23 93.88 93.00 92.50 92.91 92.37 91.02 91.79 91.73 92.11 92.60 91.09 92.36 91.96 94.23 92.26 92.60 92.60 93.37 92.68 94.43 94.24 93.95 91.34 92.91 91.74
579 372 48 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 92.89 94.54 92.85 94.24 92.34 91.63 93.03 91.86 93.07 91.55 92.04 92.05 91.17 92.97 91.71 93.12 92.17 93.54 92.41 92.56 92.85 93.76 94.38 93.44 91.85 92.14
596 372 48 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 93.69 92.18 92.69 92.26 93.30 92.90 92.50 92.22 91.58 92.81 93.05 93.21 93.14 94.07 91.59 92.98 92.79 93.37 93.08 93.00 92.75 93.76 93.41 92.96 92.46 91.27
597 372 48 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 92.06 93.15 93.38 92.05 93.23 93.14 93.53 93.23 92.72 92.79 93.43 92.41 90.84 93.54 92.49 92.32 93.99 92.78 93.58 92.42 94.26 91.06 93.83 91.52 94.11 91.59
598 372 48 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 93.93 93.49 93.47 92.57 92.78 92.82 92.47 92.65 92.17 94.22 93.23 91.39 92.73 91.50 92.06 92.64 92.09 92.72 94.53 94.06 92.49 92.79 93.65 94.14 91.81 91.88
599 372 48 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 93.17 94.02 92.77 93.02 92.62 92.10 91.96 93.18 92.16 92.66 93.11 93.83 92.61 93.19 92.47 93.16 93.48 93.23 93.11 93.59 93.44 92.71 92.73 92.69 91.11 91.93
616 372 48 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 92.55 92.26 93.39 92.86 91.80 92.86 92.73 93.28 91.53 93.54 92.87 91.21 91.99 93.61 91.13 93.26 92.55 92.94 93.88 91.89 92.52 92.33 94.07 94.28 93.47 91.50
617 372 48 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 92.83 93.76 92.95 93.59 93.82 93.37 92.64 91.15 92.07 93.52 92.70 92.11 92.15 93.00 91.27 94.54 93.08 93.15 92.80 92.44 92.97 93.31 93.89 92.16 93.35 91.59
618 372 48 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 93.43 92.90 93.08 93.04 92.78 92.00 91.20 92.31 92.34 92.85 93.63 91.54 92.91 92.82 91.83 93.07 92.64 93.17 93.39 92.57 93.62 94.22 92.94 94.14 92.41 93.49
619 372 48 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 93.18 92.95 91.77 93.76 91.46 93.85 93.02 93.61 93.49 93.15 91.81 93.03 92.24 92.35 93.53 92.74 93.26 92.33 93.28 91.88 92.48 92.36 93.48 92.06 92.82 92.52
636 372 48 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 92.26 93.05 93.25 90.77 92.24 93.37 92.94 92.89 91.92 92.87 93.10 91.93 93.40 94.11 92.95 93.17 93.40 93.29 93.43 92.82 93.62 93.52 92.81 91.52 93.91 91.68
637 372 48 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 91.93 93.43 92.82 93.06 93.44 91.48 92.52 92.51 91.63 92.82 93.40 93.08 92.04 93.54 91.90 92.32 93.73 92.68 94.03 93.58 93.01 90.73 93.81 91.97 93.51 91.27
638 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 93.43 92.96 92.50 93.04 93.91 93.28 92.82 93.11 92.87 93.75 92.27 92.29 94.16 93.11 92.84 94.12 93.24 94.63 94.15 92.79 93.47 92.91 93.56 93.45 91.06 92.39
639 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 91.34 92.80 93.97 92.37 92.84 93.00 92.83 92.21 93.13 92.74 93.31 93.02 90.48 92.37 92.26 93.65 93.97 92.16 93.26 92.33 92.86 93.17 93.79 92.54 92.80 92.08
656 372 48 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 93.20 93.13 92.93 93.99 93.05 91.48 92.67 92.14 93.28 92.71 92.39 93.75 92.75 93.89 93.54 93.65 93.17 92.80 94.44 93.54 94.55 94.23 91.73 93.35 93.82 93.19
657 372 48 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 91.71 93.13 93.49 93.09 92.42 93.73 92.61 91.12 92.20 92.24 93.98 92.45 93.05 92.37 93.44 93.63 94.05 93.15 94.19 93.47 91.77 92.56 92.47 92.74 94.04 91.68
658 372 48 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 94.01 92.80 93.00 92.42 92.82 94.11 92.88 93.18 92.79 92.53 92.60 91.67 94.25 93.19 92.65 92.86 93.96 93.73 92.84 92.52 92.86 93.42 93.30 92.37 93.67 92.64
659 372 48 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 93.32 92.35 93.98 93.76 93.87 93.21 93.09 93.41 92.35 92.79 94.02 92.05 91.03 94.28 93.46 92.87 94.19 93.86 92.49 92.80 94.72 94.35 94.11 91.26 92.46 93.23
676 372 48 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 91.11 92.11 91.88 92.30 90.81 93.03 90.47 92.20 91.81 91.89 93.07 91.85 91.82 92.85 93.85 93.56 93.08 92.38 92.67 93.42 92.78 91.84 92.66 90.88 91.91 90.70
677 372 48 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 92.40 93.75 92.12 92.12 92.32 92.47 91.16 93.77 91.72 92.36 93.12 91.97 92.59 92.84 91.90 92.71 92.30 93.70 93.78 91.24 92.48 92.71 92.18 92.59 92.61 91.65
678 372 48 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 92.14 93.20 92.51 92.76 92.35 93.44 92.02 92.94 92.96 92.93 92.35 91.73 92.80 93.60 92.92 94.24 93.26 94.25 93.36 93.57 92.53 92.56 93.00 93.15 92.16 91.37
679 372 48 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 92.15 93.29 93.41 92.57 92.74 92.63 94.02 92.98 90.19 93.12 92.89 92.32 91.89 93.87 92.14 93.39 92.83 93.49 94.24 93.65 93.74 91.87 92.08 92.75 92.54 92.34
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues = []
pvalues_real = []

for _,index in enumerate(dt_valid_sub.index):
  _, p_value = stats.ttest_ind(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')
  pvalues_real.append(p_value)
  pvalues.append((p_value >= 0.05)*1)

  

dt_valid_sub['pvalues'] = pvalues_real
dt_valid_sub['sig'] = pvalues


dt_valid_sub1 = dt_valid_sub.query('sig == 1')


max_indexx = dt_valid_sub1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
556 372 48 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 89.91 91.75 91.41 91.07 91.21 90.74 91.17 91.16 90.73 89.59 90.73 90.40 92.42 90.44 91.55 90.59 90.63 91.27 91.28 91.87 90.83 90.76 90.71 90.85 90.90 89.04
558 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 90.71 92.08 92.17 92.21 91.20 90.43 89.63 89.96 91.62 90.42 90.92 91.94 92.41 90.97 90.85 91.38 91.34 89.88 90.61 92.06 91.08 90.65 90.92 89.77 90.10 90.17
676 372 48 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 91.05 89.86 90.50 91.01 91.40 90.89 90.68 90.21 91.55 91.80 90.78 90.69 92.45 90.49 90.19 90.96 92.21 92.13 91.27 91.83 90.82 90.48 90.03 89.36 90.12 90.05
376 372 48 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 91.44 90.75 90.40 92.35 92.51 89.96 90.55 90.05 91.11 90.17 89.63 91.24 92.20 90.89 91.12 91.64 90.84 92.22 91.99 90.94 89.86 90.14 90.06 88.56 90.89 88.86
377 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 91.56 91.91 92.04 90.64 91.37 90.23 91.76 91.36 91.08 91.14 91.77 91.13 90.26 91.77 91.49 92.25 91.87 92.43 90.16 91.44 90.50 90.61 91.21 89.60 91.15 89.77
378 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 91.40 91.50 91.35 90.69 91.50 90.42 91.63 91.32 91.18 91.40 91.41 90.54 91.13 91.94 91.41 91.91 91.47 93.03 90.51 90.92 90.00 89.79 90.45 88.95 91.19 89.22
379 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.62 92.56 90.84 91.64 91.29 91.09 90.15 90.39 92.35 90.29 90.57 91.55 91.77 90.61 90.50 91.57 91.49 91.53 90.13 91.21 89.95 91.26 90.45 90.03 91.04 88.95
436 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 91.23 89.28 90.61 91.42 91.50 90.84 91.26 90.78 89.33 91.48 91.74 91.55 91.03 91.50 90.86 91.82 92.57 92.11 91.25 91.02 90.18 90.32 90.39 90.70 89.09 90.08
498 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 89.72 91.62 90.05 92.19 91.31 89.95 91.03 90.20 89.94 91.39 90.29 91.01 92.07 90.40 92.11 92.29 92.21 90.49 92.14 91.27 90.98 89.58 90.76 89.46 90.76 90.53
499 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 90.28 90.54 91.48 92.55 91.48 91.36 90.22 90.64 91.86 91.29 90.60 91.21 90.55 91.29 92.03 90.48 91.76 91.38 91.56 91.55 91.08 89.55 90.00 90.83 90.26 89.87
576 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 89.95 91.53 90.64 91.69 92.02 89.86 91.11 90.61 89.22 89.63 90.44 91.46 91.48 91.54 90.87 92.20 91.88 91.28 91.70 89.57 91.69 90.25 89.59 90.89 90.15 90.92
638 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 90.73 91.68 90.32 90.66 91.62 91.43 89.78 91.51 90.66 90.35 90.70 91.29 91.52 90.67 90.80 91.76 91.89 91.83 91.81 90.11 91.00 90.94 90.01 90.76 91.14 90.84
639 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 89.24 90.84 90.40 91.13 91.27 92.25 90.78 90.94 91.54 90.71 91.04 92.05 91.51 89.95 91.22 92.32 92.12 89.35 91.63 91.76 90.10 91.31 90.76 89.94 90.28 90.18
397 372 48 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 90.63 91.87 90.09 92.15 90.67 89.76 90.73 91.59 90.51 90.30 90.29 91.01 91.36 91.11 91.40 92.11 91.40 92.15 90.72 91.74 90.42 89.21 90.26 88.96 90.82 89.95
399 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 92.31 92.28 90.60 92.56 91.88 91.07 90.66 90.36 90.78 89.62 91.45 90.65 89.87 90.26 90.83 91.70 92.19 90.37 90.12 90.71 91.05 90.79 88.88 90.34 90.69 90.63
597 372 48 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 90.16 90.97 90.39 92.00 89.89 91.65 89.81 90.33 90.26 90.95 91.01 91.81 91.23 90.40 92.14 91.47 91.66 90.93 91.31 90.66 91.01 90.84 90.55 89.66 91.83 90.12
416 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 91.50 91.39 92.55 90.52 90.72 90.77 90.73 91.28 89.40 89.14 90.92 91.14 89.97 92.23 90.77 91.95 91.41 91.77 89.91 92.03 91.51 90.87 88.07 89.16 89.84 90.62
Size of the All data:  (136, 29)
Size of the Sig data:  (17, 29)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params1 = dt_valid.loc[dt_valid_sub1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params = optimal_params1.reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
10 372 48 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 92.53 92.73 93.53 92.37 92.89 92.77 92.35 93.07 92.29 91.77 92.83 90.44 92.99 92.71 92.41 93.49 93.08 92.91 92.84 91.53 91.85 92.82 92.45 93.04 91.98 92.01
4 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 93.33 93.03 93.82 93.62 92.96 92.17 92.66 92.43 91.69 92.99 92.75 92.20 93.16 93.10 92.19 92.92 92.78 91.50 92.74 92.77 93.49 90.10 92.92 91.99 92.61 90.62
11 372 48 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 91.11 92.11 91.88 92.30 90.81 93.03 90.47 92.20 91.81 91.89 93.07 91.85 91.82 92.85 93.85 93.56 93.08 92.38 92.67 93.42 92.78 91.84 92.66 90.88 91.91 90.70
15 372 48 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 91.88 93.16 93.67 92.62 93.22 92.33 92.97 92.93 93.43 93.19 92.70 92.31 93.15 93.36 93.34 93.27 93.19 93.38 93.42 92.78 93.13 94.44 94.53 92.56 93.32 91.76
0 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 94.06 93.03 93.30 92.86 93.31 92.88 92.83 92.86 91.59 93.92 92.54 91.47 92.51 93.39 92.33 92.96 93.40 92.47 92.81 92.50 93.42 93.61 95.56 91.67 93.46 92.30
1 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 92.76 93.27 92.86 93.09 92.70 94.10 91.45 91.13 92.31 91.78 93.68 92.65 92.64 92.39 93.03 93.95 92.86 93.62 93.42 92.85 93.75 92.80 91.64 92.11 93.76 91.69
7 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.87 94.33 91.34 92.61 93.86 92.95 92.20 92.89 92.28 92.73 93.85 93.11 91.42 92.42 91.80 92.19 93.25 92.50 93.27 93.92 93.56 92.54 93.29 93.30 92.06 89.74
6 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 93.34 92.04 92.48 92.99 93.43 93.38 92.89 91.90 92.11 93.23 92.46 93.23 93.54 92.79 92.48 92.74 93.79 93.73 93.19 92.15 93.24 92.94 93.41 92.79 91.18 92.32
8 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 89.81 92.88 92.63 91.81 92.51 93.20 90.97 91.92 90.86 91.83 92.96 93.71 93.21 92.71 93.43 92.06 92.65 91.45 93.10 92.22 93.16 92.05 92.55 94.07 93.21 91.81
3 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 90.70 93.28 92.54 92.35 93.27 92.11 93.23 91.32 92.20 92.21 92.90 92.10 93.11 94.07 91.97 93.41 94.31 93.89 92.78 93.36 92.09 91.71 90.77 93.52 91.59 90.22
13 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 93.26 93.92 92.96 93.47 94.30 91.66 92.92 92.71 92.63 92.33 92.48 93.80 91.47 93.82 92.17 93.05 93.07 93.07 93.26 93.08 92.90 93.05 93.92 93.34 92.59 92.03
2 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 93.43 92.96 92.50 93.04 93.91 93.28 92.82 93.11 92.87 93.75 92.27 92.29 94.16 93.11 92.84 94.12 93.24 94.63 94.15 92.79 93.47 92.91 93.56 93.45 91.06 92.39
5 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 91.34 92.80 93.97 92.37 92.84 93.00 92.83 92.21 93.13 92.74 93.31 93.02 90.48 92.37 92.26 93.65 93.97 92.16 93.26 92.33 92.86 93.17 93.79 92.54 92.80 92.08
14 372 48 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 92.87 93.32 92.63 92.88 93.70 92.33 92.58 92.28 92.50 93.52 91.78 91.38 92.42 92.96 92.28 93.27 92.17 93.05 92.52 92.71 95.09 93.37 94.68 91.69 92.21 91.33
12 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 94.12 92.66 94.36 93.23 93.44 91.95 93.35 92.16 93.10 93.39 93.76 93.82 92.62 92.80 93.10 92.14 93.48 94.15 92.49 93.53 93.89 93.16 90.82 93.22 92.94 92.53
9 372 48 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 92.06 93.15 93.38 92.05 93.23 93.14 93.53 93.23 92.72 92.79 93.43 92.41 90.84 93.54 92.49 92.32 93.99 92.78 93.58 92.42 94.26 91.06 93.83 91.52 94.11 91.59
16 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 92.71 92.79 93.85 93.45 93.01 93.41 93.25 92.63 93.10 93.05 92.78 92.36 90.83 92.96 92.00 93.90 93.10 93.41 91.97 93.70 94.36 94.81 92.75 92.27 93.52 91.84
Size of the test data:  (17, 34)

Difference

Code
diff = dt[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt.columns,test_data_1.columns)):   
   diff[f'col_diff_{i}'] = (np.array(dt[cols[0]]) - np.array(test_data_1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff['negative_count'] = diff.apply(count_negatives, axis=1)
diff.sort_values(by =["negative_count"],inplace = True, ascending=False)

html_table = diff.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

# 
# show(diff)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
498 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.09 1.26 2.58 -0.38 1.20 3.25 -0.06 1.72 0.92 0.44 2.67 2.70 1.14 2.31 1.32 -0.23 0.44 0.96 0.96 0.95 2.18 2.47 1.79 4.61 2.45 1.28 3
676 372 48 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.06 2.25 1.38 1.29 -0.59 2.14 -0.21 1.99 0.26 0.09 2.29 1.16 -0.63 2.36 3.66 2.60 0.87 0.25 1.40 1.59 1.96 1.36 2.63 1.52 1.79 0.65 3
499 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.42 2.74 1.06 -0.20 1.79 0.75 3.01 0.68 0.34 0.92 2.30 0.89 2.56 2.78 -0.06 2.93 2.55 2.51 1.22 1.81 1.01 2.16 0.77 2.69 1.33 0.35 2
378 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.36 1.77 1.51 2.40 1.20 3.68 -0.18 -0.19 1.13 0.38 2.27 2.11 1.51 0.45 1.62 2.04 1.39 0.59 2.91 1.93 3.75 3.01 1.19 3.16 2.57 2.47 2
379 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.25 1.77 0.50 0.97 2.57 1.86 2.05 2.50 -0.07 2.44 3.28 1.56 -0.35 1.81 1.30 0.62 1.76 0.97 3.14 2.71 3.61 1.28 2.84 3.27 1.02 0.79 2
597 372 48 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.90 2.18 2.99 0.05 3.34 1.49 3.72 2.90 2.46 1.84 2.42 0.60 -0.39 3.14 0.35 0.85 2.33 1.85 2.27 1.76 3.25 0.22 3.28 1.86 2.28 1.47 1
639 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.10 1.96 3.57 1.24 1.57 0.75 2.05 1.27 1.59 2.03 2.27 0.97 -1.03 2.42 1.04 1.33 1.85 2.81 1.63 0.57 2.76 1.86 3.03 2.60 2.52 1.90 1
638 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.70 1.28 2.18 2.38 2.29 1.85 3.04 1.60 2.21 3.40 1.57 1.00 2.64 2.44 2.04 2.36 1.35 2.80 2.34 2.68 2.47 1.97 3.55 2.69 -0.08 1.55 1
576 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.31 2.39 2.32 1.78 2.28 1.80 1.81 2.10 3.41 2.70 2.04 2.34 -0.01 2.28 1.30 0.85 1.19 1.79 1.56 3.51 1.21 2.80 4.33 2.45 2.44 1.11 1
556 372 48 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.62 0.98 2.12 1.30 1.68 2.03 1.18 1.91 1.56 2.18 2.10 0.04 0.57 2.27 0.86 2.90 2.45 1.64 1.56 -0.34 1.02 2.06 1.74 2.19 1.08 2.97 1
558 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.62 0.95 1.65 1.41 1.76 1.74 3.03 2.47 0.07 2.57 1.83 0.26 0.75 2.13 1.34 1.54 1.44 1.62 2.13 0.71 2.41 -0.55 2.00 2.22 2.51 0.45 1
436 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.11 2.76 1.87 1.57 1.93 2.54 1.63 1.12 2.78 1.75 0.72 1.68 2.51 1.29 1.62 0.92 1.22 1.62 1.94 1.13 3.06 2.62 3.02 2.09 2.09 2.24 0
377 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.50 1.12 1.26 2.22 1.94 2.65 1.07 1.50 0.51 2.78 0.77 0.34 2.25 1.62 0.84 0.71 1.53 0.04 2.65 1.06 2.92 3.00 4.35 2.07 2.31 2.53 0
397 372 48 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.24 1.45 2.54 0.73 3.03 2.57 1.85 0.69 1.99 3.22 1.49 0.37 1.06 1.85 0.88 1.16 0.77 0.90 1.80 0.97 4.67 4.16 4.42 2.73 1.39 1.38 0
399 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.81 0.38 3.76 0.67 1.56 0.88 2.69 1.80 2.32 3.77 2.31 3.17 2.75 2.54 2.27 0.44 1.29 3.78 2.37 2.82 2.84 2.37 1.94 2.88 2.25 1.90 0
376 372 48 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.44 2.41 3.27 0.27 0.71 2.37 2.42 2.88 2.32 3.02 3.07 1.07 0.95 2.47 2.22 1.63 2.35 1.16 1.43 1.84 3.27 4.30 4.47 4.00 2.43 2.90 0
416 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.21 1.40 1.30 2.93 2.29 2.64 2.52 1.35 3.70 3.91 1.86 1.22 0.86 0.73 1.23 1.95 1.69 1.64 2.06 1.67 2.85 3.94 4.68 3.11 3.68 1.22 0

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_17 91.702353 0.505056
mAP_valid_abs_values_16 91.670588 0.559402
mAP_valid_abs_values_4 91.557647 0.717221
mAP_valid_abs_values_18 91.420588 0.967461
mAP_valid_abs_values_13 91.366471 0.831068
mAP_valid_abs_values_5 91.343529 0.573203
mAP_valid_abs_values_2 91.318235 0.857053
mAP_valid_abs_values_20 91.217059 0.689871
mAP_valid_abs_values_12 91.215882 0.479532
mAP_valid_abs_values_15 91.184706 0.560860
mAP_valid_abs_values_19 91.064706 0.718967
mAP_valid_abs_values_14 90.968235 0.653254
mAP_valid_abs_values_3 90.931765 0.762285
mAP_valid_abs_values_11 90.840588 0.550482
mAP_valid_abs_values_9 90.771765 0.914175
mAP_valid_abs_values_6 90.747059 0.691852
mAP_valid_abs_values_8 90.746471 0.539907
mAP_valid_abs_values 90.731765 0.796651
mAP_valid_abs_values_21 90.709412 0.550494
mAP_valid_abs_values_7 90.687059 0.619786
mAP_valid_abs_values_25 90.602941 0.645337
mAP_valid_abs_values_10 90.568824 0.785938
mAP_valid_abs_values_22 90.432353 0.608805
mAP_valid_abs_values_23 90.182353 0.769891
mAP_valid_abs_values_26 89.988235 0.647150
mAP_valid_abs_values_24 89.871765 0.754348


We then apply the hyperparameters to the test set and average the results.

Code
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_21 93.370588 0.794705
mAP_test_abs_values_17 93.259412 0.534491
mAP_test_abs_values_5 93.140588 0.759362
mAP_test_abs_values_23 93.125294 1.285487
mAP_test_abs_values_16 93.117647 0.653907
mAP_test_abs_values_3 93.041176 0.796782
mAP_test_abs_values_19 93.027647 0.505650
mAP_test_abs_values_2 93.027059 0.553893
mAP_test_abs_values_14 93.020588 0.486627
mAP_test_abs_values_18 93.004706 0.878145
mAP_test_abs_values_11 92.914706 0.556834
mAP_test_abs_values_20 92.827059 0.622513
mAP_test_abs_values_6 92.805294 0.630656
mAP_test_abs_values_10 92.771176 0.702352
mAP_test_abs_values_4 92.771176 0.520563
average_map 92.764683 0.267104
mAP_test_abs_values_22 92.728235 1.146779
mAP_test_abs_values_25 92.606471 0.900333
mAP_test_abs_values_15 92.586471 0.580506
mAP_test_abs_values_24 92.585882 0.863214
mAP_test_abs_values_7 92.547059 0.844821
mAP_test_abs_values_12 92.479412 0.916055
mAP_test_abs_values_8 92.410588 0.608805
mAP_test_abs_values_9 92.389412 0.661282
mAP_test_abs_values_13 92.374706 1.057705
mAP_test_abs_values 92.363529 1.245406
mAP_test_abs_values_26 91.585882 0.807009
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues_mw = []
pvalues_real_mw = []

for _,index in enumerate(dt_valid_sub.index):

  _, p_value_mw = stats.mannwhitneyu(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')#, method = 'asymptotic')
  pvalues_real_mw.append(p_value_mw)
  pvalues_mw.append((p_value_mw >= 0.05)*1)
  

dt_valid_sub_mw['pvalues_mw'] = pvalues_real_mw
dt_valid_sub_mw['sig_mw'] = pvalues_mw

dt_valid_sub_mw1 = dt_valid_sub_mw.query('sig_mw == 1')


max_indexx = dt_valid_sub_mw1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
558 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 90.71 92.08 92.17 92.21 91.20 90.43 89.63 89.96 91.62 90.42 90.92 91.94 92.41 90.97 90.85 91.38 91.34 89.88 90.61 92.06 91.08 90.65 90.92 89.77 90.10 90.17
377 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 91.56 91.91 92.04 90.64 91.37 90.23 91.76 91.36 91.08 91.14 91.77 91.13 90.26 91.77 91.49 92.25 91.87 92.43 90.16 91.44 90.50 90.61 91.21 89.60 91.15 89.77
378 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 91.40 91.50 91.35 90.69 91.50 90.42 91.63 91.32 91.18 91.40 91.41 90.54 91.13 91.94 91.41 91.91 91.47 93.03 90.51 90.92 90.00 89.79 90.45 88.95 91.19 89.22
379 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.62 92.56 90.84 91.64 91.29 91.09 90.15 90.39 92.35 90.29 90.57 91.55 91.77 90.61 90.50 91.57 91.49 91.53 90.13 91.21 89.95 91.26 90.45 90.03 91.04 88.95
436 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 91.23 89.28 90.61 91.42 91.50 90.84 91.26 90.78 89.33 91.48 91.74 91.55 91.03 91.50 90.86 91.82 92.57 92.11 91.25 91.02 90.18 90.32 90.39 90.70 89.09 90.08
498 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 89.72 91.62 90.05 92.19 91.31 89.95 91.03 90.20 89.94 91.39 90.29 91.01 92.07 90.40 92.11 92.29 92.21 90.49 92.14 91.27 90.98 89.58 90.76 89.46 90.76 90.53
499 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 90.28 90.54 91.48 92.55 91.48 91.36 90.22 90.64 91.86 91.29 90.60 91.21 90.55 91.29 92.03 90.48 91.76 91.38 91.56 91.55 91.08 89.55 90.00 90.83 90.26 89.87
576 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 89.95 91.53 90.64 91.69 92.02 89.86 91.11 90.61 89.22 89.63 90.44 91.46 91.48 91.54 90.87 92.20 91.88 91.28 91.70 89.57 91.69 90.25 89.59 90.89 90.15 90.92
638 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 90.73 91.68 90.32 90.66 91.62 91.43 89.78 91.51 90.66 90.35 90.70 91.29 91.52 90.67 90.80 91.76 91.89 91.83 91.81 90.11 91.00 90.94 90.01 90.76 91.14 90.84
639 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 89.24 90.84 90.40 91.13 91.27 92.25 90.78 90.94 91.54 90.71 91.04 92.05 91.51 89.95 91.22 92.32 92.12 89.35 91.63 91.76 90.10 91.31 90.76 89.94 90.28 90.18
399 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 92.31 92.28 90.60 92.56 91.88 91.07 90.66 90.36 90.78 89.62 91.45 90.65 89.87 90.26 90.83 91.70 92.19 90.37 90.12 90.71 91.05 90.79 88.88 90.34 90.69 90.63
416 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 91.50 91.39 92.55 90.52 90.72 90.77 90.73 91.28 89.40 89.14 90.92 91.14 89.97 92.23 90.77 91.95 91.41 91.77 89.91 92.03 91.51 90.87 88.07 89.16 89.84 90.62
Size of the All data:  (136, 29)
Size of the Sig data:  (12, 34)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params_mw1 = dt_valid.loc[dt_valid_sub_mw1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params_mw = optimal_params_mw1.reset_index()
optimal_params_mw.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_mw1 = pd.merge(optimal_params_mw, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub_mw = test_data_mw1[list(test_data_mw1.columns[test_data_mw1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
4 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 93.33 93.03 93.82 93.62 92.96 92.17 92.66 92.43 91.69 92.99 92.75 92.20 93.16 93.10 92.19 92.92 92.78 91.50 92.74 92.77 93.49 90.10 92.92 91.99 92.61 90.62
0 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 94.06 93.03 93.30 92.86 93.31 92.88 92.83 92.86 91.59 93.92 92.54 91.47 92.51 93.39 92.33 92.96 93.40 92.47 92.81 92.50 93.42 93.61 95.56 91.67 93.46 92.30
1 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 92.76 93.27 92.86 93.09 92.70 94.10 91.45 91.13 92.31 91.78 93.68 92.65 92.64 92.39 93.03 93.95 92.86 93.62 93.42 92.85 93.75 92.80 91.64 92.11 93.76 91.69
7 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.87 94.33 91.34 92.61 93.86 92.95 92.20 92.89 92.28 92.73 93.85 93.11 91.42 92.42 91.80 92.19 93.25 92.50 93.27 93.92 93.56 92.54 93.29 93.30 92.06 89.74
6 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 93.34 92.04 92.48 92.99 93.43 93.38 92.89 91.90 92.11 93.23 92.46 93.23 93.54 92.79 92.48 92.74 93.79 93.73 93.19 92.15 93.24 92.94 93.41 92.79 91.18 92.32
8 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 89.81 92.88 92.63 91.81 92.51 93.20 90.97 91.92 90.86 91.83 92.96 93.71 93.21 92.71 93.43 92.06 92.65 91.45 93.10 92.22 93.16 92.05 92.55 94.07 93.21 91.81
3 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 90.70 93.28 92.54 92.35 93.27 92.11 93.23 91.32 92.20 92.21 92.90 92.10 93.11 94.07 91.97 93.41 94.31 93.89 92.78 93.36 92.09 91.71 90.77 93.52 91.59 90.22
10 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 93.26 93.92 92.96 93.47 94.30 91.66 92.92 92.71 92.63 92.33 92.48 93.80 91.47 93.82 92.17 93.05 93.07 93.07 93.26 93.08 92.90 93.05 93.92 93.34 92.59 92.03
2 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 93.43 92.96 92.50 93.04 93.91 93.28 92.82 93.11 92.87 93.75 92.27 92.29 94.16 93.11 92.84 94.12 93.24 94.63 94.15 92.79 93.47 92.91 93.56 93.45 91.06 92.39
5 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 91.34 92.80 93.97 92.37 92.84 93.00 92.83 92.21 93.13 92.74 93.31 93.02 90.48 92.37 92.26 93.65 93.97 92.16 93.26 92.33 92.86 93.17 93.79 92.54 92.80 92.08
9 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 94.12 92.66 94.36 93.23 93.44 91.95 93.35 92.16 93.10 93.39 93.76 93.82 92.62 92.80 93.10 92.14 93.48 94.15 92.49 93.53 93.89 93.16 90.82 93.22 92.94 92.53
11 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 92.71 92.79 93.85 93.45 93.01 93.41 93.25 92.63 93.10 93.05 92.78 92.36 90.83 92.96 92.00 93.90 93.10 93.41 91.97 93.70 94.36 94.81 92.75 92.27 93.52 91.84
Size of the test data:  (12, 34)

Difference

Code
diff_mw = dt_mw[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt_mw.columns,test_data_mw1.columns)):   
   diff_mw[f'col_diff_{i}'] = (np.array(dt_mw[cols[0]]) - np.array(test_data_mw1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff_mw['negative_count'] = diff_mw.apply(count_negatives, axis=1)

diff_mw.sort_values(by =["negative_count"],inplace = True, ascending=False)


html_table = diff_mw.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

key_values = ['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']
print('Are the keys of the valid and test dfs same?: ',dt_mw[key_values].equals(test_data_mw1[key_values]))
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
498 372 48 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.09 1.26 2.58 -0.38 1.20 3.25 -0.06 1.72 0.92 0.44 2.67 2.70 1.14 2.31 1.32 -0.23 0.44 0.96 0.96 0.95 2.18 2.47 1.79 4.61 2.45 1.28 3
378 372 48 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.36 1.77 1.51 2.40 1.20 3.68 -0.18 -0.19 1.13 0.38 2.27 2.11 1.51 0.45 1.62 2.04 1.39 0.59 2.91 1.93 3.75 3.01 1.19 3.16 2.57 2.47 2
379 372 48 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.25 1.77 0.50 0.97 2.57 1.86 2.05 2.50 -0.07 2.44 3.28 1.56 -0.35 1.81 1.30 0.62 1.76 0.97 3.14 2.71 3.61 1.28 2.84 3.27 1.02 0.79 2
499 372 48 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.42 2.74 1.06 -0.20 1.79 0.75 3.01 0.68 0.34 0.92 2.30 0.89 2.56 2.78 -0.06 2.93 2.55 2.51 1.22 1.81 1.01 2.16 0.77 2.69 1.33 0.35 2
558 372 48 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.62 0.95 1.65 1.41 1.76 1.74 3.03 2.47 0.07 2.57 1.83 0.26 0.75 2.13 1.34 1.54 1.44 1.62 2.13 0.71 2.41 -0.55 2.00 2.22 2.51 0.45 1
576 372 48 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.31 2.39 2.32 1.78 2.28 1.80 1.81 2.10 3.41 2.70 2.04 2.34 -0.01 2.28 1.30 0.85 1.19 1.79 1.56 3.51 1.21 2.80 4.33 2.45 2.44 1.11 1
638 372 48 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.70 1.28 2.18 2.38 2.29 1.85 3.04 1.60 2.21 3.40 1.57 1.00 2.64 2.44 2.04 2.36 1.35 2.80 2.34 2.68 2.47 1.97 3.55 2.69 -0.08 1.55 1
639 372 48 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.10 1.96 3.57 1.24 1.57 0.75 2.05 1.27 1.59 2.03 2.27 0.97 -1.03 2.42 1.04 1.33 1.85 2.81 1.63 0.57 2.76 1.86 3.03 2.60 2.52 1.90 1
377 372 48 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.50 1.12 1.26 2.22 1.94 2.65 1.07 1.50 0.51 2.78 0.77 0.34 2.25 1.62 0.84 0.71 1.53 0.04 2.65 1.06 2.92 3.00 4.35 2.07 2.31 2.53 0
436 372 48 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.11 2.76 1.87 1.57 1.93 2.54 1.63 1.12 2.78 1.75 0.72 1.68 2.51 1.29 1.62 0.92 1.22 1.62 1.94 1.13 3.06 2.62 3.02 2.09 2.09 2.24 0
399 372 48 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.81 0.38 3.76 0.67 1.56 0.88 2.69 1.80 2.32 3.77 2.31 3.17 2.75 2.54 2.27 0.44 1.29 3.78 2.37 2.82 2.84 2.37 1.94 2.88 2.25 1.90 0
416 372 48 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.21 1.40 1.30 2.93 2.29 2.64 2.52 1.35 3.70 3.91 1.86 1.22 0.86 0.73 1.23 1.95 1.69 1.64 2.06 1.67 2.85 3.94 4.68 3.11 3.68 1.22 0
Are the keys of the valid and test dfs same?:  False

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_17 91.850000 0.378418
mAP_valid_abs_values_16 91.802500 0.512678
mAP_valid_abs_values_4 91.491667 0.766703
mAP_valid_abs_values_2 91.434167 0.880593
mAP_valid_abs_values_5 91.430000 0.332921
mAP_valid_abs_values_12 91.293333 0.454179
mAP_valid_abs_values_18 91.287500 1.079791
mAP_valid_abs_values_15 91.145000 0.515937
mAP_valid_abs_values_20 91.137500 0.743225
mAP_valid_abs_values_13 91.130833 0.819484
mAP_valid_abs_values_14 91.094167 0.724926
mAP_valid_abs_values_3 91.087500 0.814986
mAP_valid_abs_values_11 90.987500 0.502378
mAP_valid_abs_values_19 90.960833 0.798720
mAP_valid_abs_values_6 90.808333 0.686491
mAP_valid_abs_values_8 90.779167 0.506529
mAP_valid_abs_values 90.770833 0.880118
mAP_valid_abs_values_21 90.760000 0.595101
mAP_valid_abs_values_9 90.746667 1.057943
mAP_valid_abs_values_7 90.728333 0.681080
mAP_valid_abs_values_10 90.571667 0.799578
mAP_valid_abs_values_22 90.493333 0.605300
mAP_valid_abs_values_25 90.474167 0.640149
mAP_valid_abs_values_26 90.148333 0.617809
mAP_valid_abs_values_23 90.124167 0.903795
mAP_valid_abs_values_24 90.035833 0.671896


We then apply the hyperparameters to the test set and average the results.

Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params = dt_valid.loc[dt_valid_sub_mw1.index].iloc[:, :6].reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, how='left')
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_21 93.377917 0.665010
mAP_test_abs_values_2 93.225625 0.570248
mAP_test_abs_values_23 93.220625 1.212892
mAP_test_abs_values_5 93.188542 0.498508
mAP_test_abs_values_19 93.159792 0.593728
mAP_test_abs_values_14 93.145625 0.576338
mAP_test_abs_values_22 93.126875 1.057738
mAP_test_abs_values_16 93.112917 0.659174
mAP_test_abs_values_18 93.092292 0.805793
mAP_test_abs_values_17 93.050833 0.573937
mAP_test_abs_values_3 92.993125 0.883210
mAP_test_abs_values_20 92.925000 0.649645
mAP_test_abs_values_11 92.899792 0.667394
mAP_test_abs_values_4 92.848125 0.724944
average_map 92.783638 0.216667
mAP_test_abs_values_25 92.703125 0.828963
mAP_test_abs_values_6 92.691250 0.688247
mAP_test_abs_values_10 92.655208 0.666611
mAP_test_abs_values_7 92.528958 0.653258
mAP_test_abs_values_15 92.496667 0.625927
mAP_test_abs_values_24 92.458750 0.814472
mAP_test_abs_values_13 92.452500 0.881427
mAP_test_abs_values_8 92.422708 0.686387
mAP_test_abs_values_12 92.390000 0.771966
mAP_test_abs_values_9 92.263333 0.704280
mAP_test_abs_values 92.243125 1.102255
mAP_test_abs_values_26 91.701875 0.847692


Summary using radar plot

Code
def extract_number(text):
    if isinstance(text, str):
        matches = re.findall(r'\d+', text)
        return int(matches[0]) if matches else 1
    return 1

res_valid1['id'] = res_valid1.index.to_series().apply(extract_number)
res_test1['id'] = res_test1.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid1,res_test1])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test1 = res_test1.sort_values(by=['id']).reset_index().query("index !='average_map'")
data_range1 = np.array(list(res_test1['mean']) + list(res_valid1['mean']))
categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test1['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid1['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "T-Test",
        'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range1.min()), round(data_range1.max()) + 1]
    )),
  showlegend=True
)

fig.show()

##############


res_valid2['id'] = res_valid2.index.to_series().apply(extract_number)
res_test2['id'] = res_test2.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid2,res_test2])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test2 = res_test2.sort_values(by=['id']).reset_index().query("index !='average_map'")

data_range2 = np.array(list(res_test2['mean']) + list(res_valid2['mean']))

categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test2['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid2['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "MU-Test",
         'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range2.min()), round(data_range2.max()) + 1]
    )),
  showlegend=True
)

fig.show()




Bit size 16

The results in this presentation are from two experimental designs:

The thresholding is based on fixed values between -1 and 1 on a step size of 0.1.

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
4 372 16 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 85.40 83.84 86.09 87.79 84.62 87.16 87.17 87.89 83.39 85.82 84.72 87.82 87.18 87.66 83.34 87.29 86.96 87.89 87.83 85.75 87.30 42.66 87.17 80.90 78.89 86.13
5 372 16 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 86.54 84.11 86.82 84.59 89.16 87.56 86.07 87.06 88.16 88.22 88.79 88.93 88.46 88.14 87.70 86.24 85.63 88.70 86.30 87.21 86.00 84.05 84.23 85.75 80.71 87.01
6 372 16 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 86.19 87.96 85.89 85.53 85.07 83.88 86.23 82.88 86.23 85.79 88.02 87.80 86.92 83.82 79.48 87.32 86.17 86.01 88.57 87.75 86.63 76.37 85.74 84.64 83.44 80.56
7 372 16 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 85.11 84.59 85.09 86.26 84.06 87.76 86.94 87.93 86.83 87.28 87.93 85.30 87.67 87.53 84.98 88.01 42.66 88.00 88.79 89.38 86.75 86.53 87.57 83.74 42.66 42.66
24 372 16 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 85.43 86.41 83.52 87.02 85.57 86.30 86.81 89.31 88.33 87.62 88.70 91.05 88.02 87.65 86.67 89.20 89.06 88.21 88.59 87.75 88.05 88.13 87.93 85.21 87.32 87.15
25 372 16 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 87.42 86.59 86.32 86.49 86.45 86.88 88.57 89.74 88.82 88.49 89.05 89.19 89.20 87.03 87.54 88.81 86.69 86.53 89.00 89.69 87.23 88.63 87.22 87.71 86.99 88.04
26 372 16 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 86.14 87.15 86.10 88.25 86.96 88.14 88.50 88.56 88.33 88.12 88.03 90.09 88.69 77.11 87.43 89.12 85.55 88.48 89.05 88.14 88.34 86.67 87.64 88.52 88.81 86.71
27 372 16 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 88.34 86.34 86.73 87.43 88.15 87.89 87.60 88.54 42.66 87.63 89.64 89.05 88.41 88.09 87.48 89.12 89.68 87.70 90.08 88.77 68.69 88.76 87.44 87.03 86.63 85.91
44 372 16 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 42.66 86.97 88.31 88.75 86.24 89.94 89.08 87.51 88.70 88.09 89.82 88.05 42.66 89.15 85.76 90.00 89.28 89.96 90.39 91.55 88.69 88.00 87.88 86.33 89.53 87.99
45 372 16 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 88.09 88.78 86.07 87.34 88.02 87.07 87.55 87.74 89.62 88.73 89.65 90.23 89.59 88.35 89.37 90.96 42.66 89.56 88.48 89.47 89.40 89.70 88.50 89.49 87.35 87.91
46 372 16 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 88.62 88.10 86.31 84.27 85.56 88.55 89.64 89.83 87.40 88.17 89.74 89.71 89.99 89.54 88.86 89.65 88.93 90.19 89.07 89.09 88.46 88.00 87.47 84.15 86.20 85.57
47 372 16 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 42.66 87.97 88.42 88.58 86.93 88.92 88.77 42.66 88.25 90.16 88.81 88.19 90.64 88.35 88.56 89.28 89.53 89.48 88.12 87.38 89.05 87.95 86.25 88.23 87.19 88.38
64 372 16 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 55.91 66.45 71.40 65.40 69.85 75.26 56.20 65.59 83.07 57.21 74.35 64.53 58.29 74.51 64.68 75.23 82.30 56.45 63.84 64.42 71.53 67.06 76.50 65.29 72.77 65.78
65 372 16 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 73.49 65.09 73.52 66.19 65.65 85.73 78.91 65.30 84.31 73.67 74.16 64.04 83.39 69.08 64.15 74.11 80.54 66.94 75.01 74.59 66.52 66.44 66.09 66.81 65.67 66.07
66 372 16 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 73.27 77.28 65.96 65.27 64.84 75.69 74.18 65.83 56.86 64.59 83.63 74.67 83.97 74.92 71.53 74.58 64.54 61.79 85.29 75.15 65.11 65.16 65.12 64.98 65.27 64.88
67 372 16 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 72.26 66.26 72.93 66.50 66.32 83.13 74.55 65.28 65.03 81.15 63.77 74.72 75.26 65.55 63.87 73.88 64.27 88.09 75.45 64.47 66.36 65.77 67.10 66.02 66.92 66.17
84 372 16 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 61.48 42.66 74.39 64.84 64.51 63.01 73.95 68.60 57.07 63.74 75.14 62.96 74.47 74.95 63.07 56.86 74.45 85.94 75.40 88.69 64.05 64.09 64.01 64.06 69.33 64.52
85 372 16 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 83.95 64.92 64.05 64.56 70.90 75.68 73.53 64.15 85.14 75.27 75.23 63.79 86.21 63.23 62.46 86.75 62.95 75.27 75.12 72.98 70.06 64.46 63.82 64.42 64.49 66.92
86 372 16 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 72.08 64.83 80.39 64.59 42.66 75.11 74.98 65.01 61.08 65.20 74.42 81.45 73.92 87.56 63.46 73.59 83.54 83.51 75.16 65.03 72.88 64.67 64.85 64.79 64.57 65.01
87 372 16 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 65.09 42.66 65.36 64.44 75.09 75.69 86.01 63.63 63.31 76.13 87.07 75.65 60.21 63.45 63.52 86.35 69.78 85.39 75.80 63.55 64.96 65.79 64.01 64.87 65.43 64.89
104 372 16 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 73.32 64.10 74.22 64.80 64.49 75.23 74.52 63.62 86.82 68.19 87.28 64.02 85.39 60.27 62.86 85.21 64.07 74.51 74.86 63.46 64.68 82.97 72.63 64.09 81.01 64.76
105 372 16 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 81.18 64.73 74.49 64.56 75.44 74.91 83.92 86.60 75.71 74.88 74.91 74.36 88.92 73.85 64.06 87.99 85.91 87.26 74.63 63.34 63.64 64.29 56.54 63.42 64.03 64.26
106 372 16 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 73.67 63.63 65.53 75.67 80.80 74.67 80.66 86.31 67.50 63.34 74.91 75.99 88.87 74.57 85.27 86.71 74.96 84.61 62.87 62.64 64.18 63.76 79.67 63.80 64.53 64.33
107 372 16 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 74.91 74.42 82.91 65.35 64.71 89.31 73.75 65.07 84.96 75.07 88.95 88.28 87.36 87.86 64.19 73.70 74.59 84.68 63.64 86.48 74.01 64.14 64.44 64.75 64.26 64.44
124 372 16 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 72.83 65.78 65.57 66.07 65.72 75.35 56.18 65.00 64.83 64.89 81.99 63.44 74.52 64.01 64.83 61.95 64.73 74.57 74.86 55.03 73.13 67.86 64.52 65.42 65.69 65.04
125 372 16 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 72.23 56.58 65.35 65.45 74.15 56.82 74.17 65.56 68.30 65.84 84.49 63.58 74.90 74.18 64.81 74.61 69.89 68.90 75.41 75.09 64.26 70.68 65.05 66.05 64.64 64.85
126 372 16 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 65.89 62.37 70.39 64.44 63.65 74.87 72.70 64.12 73.28 62.69 75.95 62.22 86.24 85.19 63.65 76.88 61.05 63.14 86.05 63.67 63.45 65.02 64.40 64.83 63.95 63.40
127 372 16 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 57.30 74.36 83.82 73.95 73.32 74.90 72.98 66.62 73.91 66.33 75.17 83.11 86.78 55.77 64.83 85.61 64.88 75.06 74.64 84.83 71.28 66.63 65.42 65.64 81.63 65.72
144 372 16 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 73.29 65.66 65.91 65.33 74.10 75.21 73.30 64.42 84.38 77.25 75.34 84.21 59.76 63.58 64.75 74.48 63.86 74.51 85.31 74.94 69.11 64.71 65.39 64.91 65.28 65.66
145 372 16 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 73.66 69.18 65.34 64.97 64.58 75.11 75.07 65.06 74.67 63.29 74.65 85.03 74.19 74.71 42.66 61.39 55.12 86.14 74.88 63.09 63.73 64.49 74.05 66.35 64.21 69.21
146 372 16 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 73.89 65.29 74.60 64.41 65.38 75.10 81.97 64.85 75.49 63.83 63.78 75.85 73.29 82.00 68.03 73.71 62.60 59.75 84.80 58.37 64.42 65.21 63.97 64.49 63.99 67.20
147 372 16 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 63.75 75.36 73.72 64.50 56.87 75.18 74.29 64.48 74.42 67.65 74.92 63.05 87.79 71.67 62.45 86.92 84.88 75.27 85.65 63.72 63.93 64.49 55.46 63.86 64.55 64.78
164 372 16 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 85.91 65.29 65.34 65.03 64.39 75.15 87.15 63.38 74.74 64.28 62.89 62.73 87.55 74.74 63.93 69.71 63.72 84.12 75.03 74.40 62.56 63.44 73.20 62.96 64.93 63.99
165 372 16 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 59.46 65.04 71.40 64.27 83.53 74.72 88.51 63.72 74.48 63.49 74.96 63.20 74.68 74.07 64.25 87.40 87.08 86.46 74.88 74.89 63.35 64.42 72.99 64.42 63.99 64.35
166 372 16 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 73.93 74.67 70.89 64.97 64.02 75.91 84.72 63.84 86.91 63.78 75.16 63.79 73.82 74.65 63.34 75.06 74.97 74.09 75.11 74.39 63.42 64.33 62.94 63.54 64.03 83.21
167 372 16 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 84.80 63.98 67.90 64.33 73.91 74.71 87.10 63.02 86.84 74.98 63.11 62.39 86.76 73.92 63.28 85.58 63.75 62.27 75.13 62.82 64.44 63.15 63.78 63.29 63.68 64.01
184 372 16 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 84.94 77.72 85.57 85.26 84.15 86.21 86.17 85.42 84.89 84.87 83.98 87.50 86.64 84.85 82.51 86.93 83.89 85.80 86.45 87.80 84.04 85.03 85.85 74.45 82.78 83.61
185 372 16 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 86.29 84.47 86.30 86.78 84.49 89.46 86.06 86.10 88.04 87.93 87.92 85.98 87.56 87.74 87.49 87.59 85.97 88.21 87.83 87.65 86.50 86.80 86.17 86.57 86.56 87.63
186 372 16 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 86.88 83.22 86.12 85.17 84.57 87.03 87.29 87.25 88.21 85.44 87.90 85.68 88.82 87.37 85.86 88.72 88.06 84.35 87.56 87.40 84.33 86.44 87.36 85.41 86.24 85.63
187 372 16 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 86.17 84.93 83.41 84.58 88.05 85.51 87.16 88.27 89.04 87.08 87.71 86.74 86.63 88.10 87.26 87.20 87.32 86.93 86.58 84.53 87.51 88.43 85.41 85.45 87.10 85.52
204 372 16 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 85.44 84.93 87.08 84.51 85.45 87.73 88.09 89.29 87.63 88.76 85.74 88.29 89.22 88.72 87.66 89.89 87.99 87.55 87.70 89.70 83.03 87.15 88.13 83.58 88.15 84.78
205 372 16 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 86.34 86.85 85.21 88.28 82.44 89.03 88.46 87.37 88.08 88.29 86.46 89.44 90.15 88.44 88.87 89.63 89.07 87.41 88.17 87.65 88.29 88.53 87.01 87.49 87.50 87.12
206 372 16 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 85.82 86.09 85.78 88.44 87.14 86.06 88.51 88.78 87.14 87.05 88.04 89.37 88.27 88.10 89.49 89.08 88.80 88.21 90.44 87.45 88.68 88.13 87.67 88.36 87.60 88.29
207 372 16 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 86.34 87.64 86.97 85.55 86.41 88.48 88.22 88.30 88.96 87.75 88.44 89.01 88.17 89.46 87.39 89.87 88.87 88.49 88.82 89.00 87.16 87.39 87.58 87.05 86.28 86.36
224 372 16 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 87.58 88.06 87.43 86.81 88.08 88.61 89.45 90.03 89.01 87.84 88.59 90.61 88.79 88.28 87.91 89.40 89.27 88.70 88.09 87.85 88.69 88.03 87.97 89.67 87.51 89.27
225 372 16 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 87.45 87.55 86.52 87.88 86.78 89.24 88.21 89.05 86.96 88.10 90.62 89.48 89.75 89.05 85.90 88.42 89.17 87.37 89.16 87.08 89.27 88.90 86.83 86.56 88.68 85.67
226 372 16 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 89.18 86.75 87.11 87.61 86.57 87.86 89.63 89.28 88.28 88.50 87.86 87.76 89.40 89.87 89.81 89.12 89.39 85.95 88.45 88.17 88.49 90.12 86.80 85.54 87.70 81.71
227 372 16 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 88.23 86.49 88.00 87.13 87.36 87.75 88.21 90.14 89.41 89.69 89.52 89.43 89.12 89.94 87.91 89.10 88.12 89.09 89.97 91.56 86.38 88.37 88.53 89.15 89.45 73.65
244 372 16 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 67.25 63.88 63.54 65.01 63.34 81.38 58.24 64.71 64.47 86.20 75.63 64.31 75.42 67.70 63.00 63.73 63.35 73.26 75.16 63.93 65.54 65.67 64.75 65.10 65.40 64.38
245 372 16 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 60.10 72.30 67.92 65.36 65.59 75.54 72.32 72.34 65.64 64.97 88.01 63.37 74.48 74.71 64.08 60.07 64.81 83.76 63.66 85.06 66.02 65.03 65.45 64.29 65.62 65.49
246 372 16 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 73.12 69.50 55.65 65.30 65.34 76.05 72.20 65.97 65.39 66.08 74.69 75.22 75.31 67.30 69.19 67.98 69.25 68.60 74.55 62.37 64.97 65.18 65.88 65.43 66.38 68.26
247 372 16 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 73.69 64.95 73.96 65.32 64.02 74.59 84.86 76.89 63.89 85.41 75.17 75.41 75.41 63.56 65.90 82.89 71.43 62.90 86.59 63.24 73.37 67.67 64.14 64.35 63.77 64.62
264 372 16 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 60.66 66.05 56.23 73.81 57.27 75.59 73.91 65.52 82.91 87.43 82.73 85.43 86.48 74.29 64.31 73.63 64.36 84.91 74.68 75.16 64.41 64.23 74.22 65.11 64.87 64.99
265 372 16 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 58.90 74.49 82.81 64.10 64.80 75.24 75.24 64.39 73.63 64.37 75.69 87.66 73.17 54.96 63.31 74.38 74.51 84.70 74.65 75.14 63.71 64.83 63.55 64.13 64.75 64.19
266 372 16 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 73.03 65.41 65.58 64.93 74.64 75.32 84.74 64.29 84.39 64.85 74.88 63.54 84.27 62.70 63.36 74.90 63.13 85.12 63.16 75.19 63.35 64.58 55.36 64.19 65.31 65.95
267 372 16 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 65.59 65.06 64.36 73.92 66.58 84.11 84.68 63.97 56.75 74.40 74.39 62.83 86.56 75.07 62.39 74.66 62.75 79.24 74.63 85.80 64.97 65.32 73.62 64.74 64.34 65.12
284 372 16 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 82.80 65.53 73.91 64.56 74.16 74.96 74.59 64.76 74.14 64.29 74.36 74.88 88.23 73.92 62.30 75.37 66.54 42.66 74.65 87.18 63.81 64.37 63.27 64.25 64.39 64.82
285 372 16 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 73.98 64.05 65.08 64.51 67.37 75.40 73.45 63.72 83.63 84.06 87.51 63.65 87.80 56.26 64.45 74.69 63.02 74.45 74.89 74.57 63.23 63.99 55.89 64.17 63.94 63.44
286 372 16 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 72.27 72.07 64.99 65.36 64.98 62.71 74.69 63.95 74.17 87.19 74.95 63.34 86.76 74.17 63.77 84.21 81.58 75.42 62.84 63.14 63.88 64.45 72.15 62.99 64.93 64.19
287 372 16 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 74.81 65.01 65.31 65.24 73.82 74.93 75.06 63.84 74.43 64.02 87.11 74.53 89.85 63.61 63.18 75.24 74.34 88.20 87.52 86.57 63.37 63.86 72.62 64.17 64.15 64.98
304 372 16 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 73.69 63.20 63.11 63.22 62.86 75.36 72.12 62.91 71.16 83.47 75.38 62.54 65.47 61.28 61.74 73.53 61.28 69.72 75.70 74.79 63.76 64.51 64.11 62.91 68.79 63.47
305 372 16 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 59.38 65.26 56.52 66.02 56.39 65.27 74.99 64.82 73.87 64.19 75.93 63.67 75.08 64.30 65.15 74.53 63.94 74.23 75.55 64.32 64.91 65.78 78.58 65.02 64.66 64.94
306 372 16 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 55.95 65.94 77.85 57.34 74.04 75.71 83.34 64.38 73.08 60.76 63.82 63.29 75.68 63.25 56.31 84.05 62.84 63.50 75.37 63.90 65.46 64.53 64.63 64.93 64.50 64.18
307 372 16 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 72.89 65.21 65.26 65.09 66.12 75.63 75.64 64.97 64.56 65.76 56.40 63.82 74.14 62.08 64.54 83.44 64.20 60.50 74.92 88.50 65.28 71.26 74.05 64.21 65.18 64.41
324 372 16 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 73.55 65.01 66.18 71.29 66.08 83.59 74.70 82.44 82.35 57.27 75.44 63.54 74.71 83.62 65.23 83.81 85.13 70.89 74.39 74.68 64.80 67.02 64.64 65.78 65.62 64.96
325 372 16 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 79.42 64.68 58.16 64.50 74.09 74.40 84.86 65.01 82.34 64.26 74.67 74.39 84.16 86.75 63.33 85.09 74.36 64.06 75.39 75.21 64.46 64.69 64.27 63.94 64.68 66.03
326 372 16 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 73.25 74.78 74.47 56.26 64.70 74.90 74.20 85.81 85.24 64.99 74.39 63.51 75.01 55.28 63.05 74.11 63.51 73.12 75.16 81.44 64.68 65.04 55.52 64.61 64.84 64.74
327 372 16 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 73.94 64.59 64.47 65.06 60.76 74.98 88.40 70.52 64.23 65.25 75.23 63.21 87.47 85.64 63.48 74.99 55.44 75.19 55.78 63.39 63.16 65.12 65.37 64.01 64.10 65.55
344 372 16 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 62.74 65.06 64.57 65.02 64.61 74.72 87.01 75.21 86.54 88.28 74.71 75.42 85.04 74.26 62.92 88.15 63.55 55.51 86.95 64.52 63.68 63.92 63.97 65.01 64.59 64.07
345 372 16 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 74.02 64.59 79.16 73.85 56.15 74.40 85.87 63.84 86.06 64.76 88.33 73.85 86.34 56.50 64.23 75.07 87.06 74.68 74.65 63.44 64.06 64.04 73.39 64.92 64.54 64.24
346 372 16 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 73.88 70.02 83.71 65.31 63.74 75.15 89.05 63.62 74.71 61.45 86.44 74.90 73.61 85.85 63.39 74.50 55.28 86.80 74.35 74.39 63.16 64.70 64.42 64.19 64.01 67.97
347 372 16 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 74.66 85.20 64.93 64.32 65.05 87.69 87.14 64.79 87.55 75.50 74.42 87.55 85.24 63.52 55.78 87.12 84.40 75.11 87.66 74.94 63.67 63.76 64.42 64.17 64.82 64.19
364 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 91.83 90.65 90.52 90.84 91.25 90.71 90.46 90.08 90.23 91.16 90.44 90.50 90.70 90.03 89.08 92.09 91.46 90.49 91.05 90.14 90.32 89.07 88.99 88.95 88.58 89.92
365 372 16 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 89.89 90.04 90.61 89.50 90.34 90.99 90.32 91.40 89.33 90.11 90.67 90.40 91.27 89.43 90.37 90.47 90.40 89.39 92.19 91.14 89.34 89.04 88.82 88.23 89.45 89.02
366 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 88.09 90.31 89.47 89.60 89.78 89.14 88.60 90.69 89.88 90.90 90.89 90.47 92.26 89.33 90.11 90.91 89.57 91.24 90.05 89.90 90.76 90.01 90.68 89.30 89.74 89.41
367 372 16 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 90.37 90.59 90.25 89.82 90.79 89.84 88.53 89.92 90.67 89.62 90.54 91.52 90.82 89.81 88.92 90.23 89.72 90.38 89.92 91.21 89.84 89.09 89.37 89.33 90.21 88.56
384 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 91.12 91.37 90.78 90.27 90.99 88.86 91.50 90.69 90.38 90.43 90.98 88.94 89.60 88.67 90.91 89.61 91.14 90.66 91.23 92.01 89.22 88.75 89.48 88.20 87.71 89.54
385 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 89.83 90.67 90.50 90.65 91.48 89.89 90.60 90.62 90.17 90.69 90.08 92.40 90.50 89.58 90.93 91.17 90.55 90.64 92.41 90.96 88.98 89.34 89.52 88.77 89.10 88.37
386 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 89.92 90.27 91.34 89.98 91.18 89.01 90.26 91.03 90.44 91.14 89.61 90.59 90.23 91.07 90.15 90.17 91.61 88.91 90.55 91.07 89.59 89.70 88.24 88.81 88.80 89.55
387 372 16 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 90.16 91.51 90.02 90.07 90.37 89.46 90.34 88.90 90.40 90.80 90.40 89.37 89.19 89.89 89.95 89.84 89.90 90.49 90.51 89.22 90.13 90.06 89.38 87.61 90.08 88.96
404 372 16 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 88.96 90.35 89.22 89.42 89.22 90.33 89.89 90.04 90.36 89.92 90.86 90.14 90.17 89.87 90.66 90.58 89.84 88.91 89.23 90.60 89.36 76.78 88.31 89.40 76.35 90.89
405 372 16 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 89.73 90.68 89.80 89.82 90.74 89.26 90.14 91.24 88.89 89.60 90.26 90.95 91.67 89.63 90.39 89.39 90.36 90.55 90.43 89.42 89.36 89.19 88.73 89.65 76.12 90.33
406 372 16 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 90.70 89.86 90.55 91.28 89.25 90.47 88.81 89.44 90.32 90.44 90.09 92.11 89.72 89.93 89.12 90.06 89.62 90.23 90.13 92.20 88.11 88.47 89.15 89.02 89.93 88.51
407 372 16 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 89.30 89.54 90.38 89.92 90.90 90.26 89.29 90.71 90.80 89.43 90.67 89.12 89.03 89.43 89.89 89.42 90.68 91.04 89.30 89.98 89.00 89.94 88.36 88.52 89.58 89.45
424 372 16 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 68.83 64.77 64.51 64.92 65.08 75.11 75.11 64.13 87.26 64.89 74.42 74.75 71.05 73.11 63.86 74.25 70.71 73.56 75.16 74.34 63.86 63.90 73.87 64.41 87.23 73.37
425 372 16 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 74.06 64.54 64.28 64.20 64.15 87.54 74.67 63.46 65.32 63.63 71.16 74.53 73.88 74.07 63.55 73.88 73.67 73.05 73.80 88.15 62.16 64.05 73.27 64.88 73.36 64.24
426 372 16 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 68.92 63.89 63.96 64.30 64.22 74.59 74.30 63.71 64.05 70.36 71.91 74.28 73.71 73.13 63.23 74.34 74.14 73.29 73.81 74.50 63.84 63.69 73.39 64.07 63.55 64.91
427 372 16 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 73.59 64.86 64.45 64.76 64.31 74.79 70.46 69.46 75.62 64.29 74.37 74.24 73.92 73.70 63.34 73.39 70.74 73.47 74.06 71.07 73.21 64.04 72.91 70.12 72.69 86.80
444 372 16 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 74.36 64.95 64.26 65.10 65.25 74.04 74.51 64.41 69.78 65.19 74.09 74.33 73.11 73.42 63.75 73.93 64.11 74.14 73.55 73.72 64.07 63.95 73.41 64.91 73.18 64.49
445 372 16 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 73.40 64.38 63.44 63.52 64.76 74.95 73.91 63.84 64.57 64.39 74.37 74.28 73.40 71.20 62.96 73.88 63.97 73.43 74.02 74.03 63.69 63.26 73.37 70.32 72.58 70.83
446 372 16 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 74.56 64.56 64.17 65.13 64.49 74.36 88.99 64.16 64.01 64.51 74.12 73.97 73.12 74.25 63.03 73.31 63.85 73.42 74.11 75.31 63.94 64.53 72.84 64.34 69.68 65.04
447 372 16 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 73.07 64.20 69.02 64.52 64.53 74.37 74.37 64.48 65.75 64.80 74.12 74.00 88.53 73.73 63.34 73.35 74.81 73.56 74.34 75.71 63.21 63.65 73.90 64.76 73.41 73.57
464 372 16 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 64.94 64.36 64.22 65.02 64.76 74.85 74.73 63.62 89.11 63.99 74.61 74.59 73.14 63.02 63.00 73.10 63.64 73.11 73.83 74.26 63.74 63.21 72.63 63.44 64.07 65.03
465 372 16 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 65.70 64.60 63.92 64.49 64.18 74.90 74.82 69.98 64.79 65.05 74.09 87.17 71.53 73.57 63.24 73.46 63.17 73.11 86.99 73.01 62.74 64.74 72.17 64.65 73.81 65.01
466 372 16 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 65.01 64.93 64.51 64.78 64.96 74.92 74.06 62.96 64.17 65.25 74.58 74.26 73.41 63.21 64.33 73.89 63.89 73.05 73.84 74.04 64.47 64.19 73.28 63.94 73.41 64.42
467 372 16 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 64.80 65.04 64.76 64.96 64.13 74.42 74.35 62.82 64.58 64.56 74.58 73.53 73.15 71.85 63.51 73.49 87.54 74.32 73.86 70.55 63.69 63.94 72.43 64.63 64.20 64.76
484 372 16 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 70.58 64.51 88.26 65.01 65.20 74.86 74.26 64.86 64.78 70.75 73.37 73.49 73.70 72.22 64.21 72.79 72.81 73.85 74.11 75.01 73.26 63.64 72.70 63.96 70.48 73.86
485 372 16 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 70.06 64.74 62.96 64.81 64.34 74.51 88.45 63.16 71.23 89.24 74.14 74.76 73.64 73.69 63.66 87.65 63.43 73.69 73.79 74.68 62.71 63.51 72.92 64.63 73.29 73.40
486 372 16 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 73.61 65.37 69.37 65.76 64.69 70.55 73.75 64.21 73.51 64.84 70.89 74.59 71.80 73.28 64.35 73.52 56.34 72.99 73.28 72.21 64.32 65.42 72.91 65.46 73.83 72.62
487 372 16 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 73.63 64.15 85.49 64.02 64.78 75.00 74.66 63.93 87.94 64.70 71.82 71.29 73.59 71.19 63.80 70.83 88.18 73.28 71.50 74.61 63.64 86.43 70.26 73.54 70.52 74.14
504 372 16 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 73.80 64.86 69.39 64.04 64.04 74.88 86.86 64.27 73.81 64.06 74.34 74.01 73.13 73.35 63.82 72.66 74.48 70.52 74.91 75.02 62.39 64.59 73.19 64.57 74.09 64.49
505 372 16 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 74.38 63.92 86.77 64.45 64.51 74.54 74.24 63.64 63.85 64.84 74.09 74.27 73.97 73.57 63.77 74.12 74.26 73.69 70.90 75.20 64.24 63.94 73.30 63.75 73.90 74.42
506 372 16 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 64.34 64.52 63.65 64.65 64.66 74.06 74.18 63.81 74.04 64.55 71.22 88.43 90.32 73.87 63.77 73.76 63.72 73.83 73.62 74.54 63.15 65.01 70.47 63.96 63.72 64.53
507 372 16 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.03 64.70 63.32 64.42 65.00 74.43 73.54 65.04 64.10 64.78 71.09 74.72 72.93 73.46 64.19 74.00 70.52 73.00 73.79 74.40 63.87 63.94 73.16 63.94 71.03 73.85
524 372 16 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 69.43 64.97 64.37 65.29 64.22 75.14 87.95 88.84 69.36 64.60 73.84 74.89 73.15 62.91 63.87 71.22 63.64 73.67 74.33 75.02 65.01 63.72 72.69 65.03 73.33 64.10
525 372 16 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 87.00 64.11 64.76 64.93 64.72 74.33 73.58 64.48 64.62 65.65 73.84 63.57 73.13 73.86 64.13 73.10 64.01 70.93 74.60 75.13 64.37 64.08 71.89 64.33 63.59 74.34
526 372 16 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 65.59 64.70 64.43 64.92 64.51 63.90 74.78 63.84 63.67 69.38 73.76 70.30 73.15 62.71 62.85 73.50 63.35 71.87 74.09 70.15 63.69 63.80 73.07 64.66 73.62 73.36
527 372 16 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 74.06 64.98 86.98 65.26 65.00 63.42 73.85 64.60 64.18 65.18 70.87 69.42 73.63 73.35 64.31 72.40 63.06 87.33 74.21 74.01 63.42 64.91 73.18 64.63 64.01 73.61
544 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 91.80 90.66 89.94 90.48 90.14 92.50 89.20 89.98 89.72 89.89 90.71 91.28 90.89 90.77 90.12 90.96 90.81 91.07 91.73 91.33 89.36 90.16 90.15 87.45 89.64 89.32
545 372 16 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 90.12 89.96 90.82 90.99 89.82 91.41 91.20 89.14 88.99 90.84 89.52 89.84 89.31 90.25 89.20 90.74 88.82 90.94 91.25 91.05 88.20 89.16 90.16 88.11 88.92 89.54
546 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 90.48 90.29 91.53 90.24 90.14 89.13 91.42 89.05 90.21 90.46 91.04 90.26 90.14 90.75 89.83 90.83 90.18 91.15 91.61 91.02 88.69 89.09 88.97 88.27 91.08 89.75
547 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 88.22 91.78 89.63 90.66 90.89 91.19 90.07 91.62 89.81 89.60 91.12 90.58 92.60 90.47 90.61 90.67 90.44 92.16 90.29 91.07 90.18 90.53 89.50 89.07 89.26 89.51
564 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 88.86 90.97 90.45 89.55 90.32 91.81 91.16 89.89 91.35 92.64 91.10 90.29 90.72 90.53 90.88 92.72 91.17 91.43 89.90 90.35 88.72 89.03 89.06 88.50 89.53 89.44
565 372 16 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 88.36 90.81 90.01 89.44 90.88 89.31 90.38 90.81 90.70 89.32 91.08 89.83 89.57 90.34 89.22 90.41 90.31 91.26 90.12 90.65 88.82 88.29 88.29 88.31 90.20 89.12
566 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 91.04 89.42 90.70 90.58 90.29 91.38 90.16 89.90 90.43 90.31 90.96 89.94 90.66 90.62 89.87 90.61 89.18 90.45 89.87 89.76 90.14 89.40 88.86 89.05 89.87 89.06
567 372 16 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 90.45 90.98 89.29 88.05 90.47 89.49 90.19 89.85 90.57 89.26 91.50 89.63 90.23 90.82 89.30 90.25 90.24 90.18 89.71 90.35 89.45 89.20 89.67 88.94 89.56 90.14
584 372 16 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 88.85 89.16 91.17 88.87 89.88 88.26 89.87 90.24 90.59 88.53 90.58 88.88 89.38 88.27 88.33 88.10 89.69 88.88 90.93 90.41 89.56 89.42 88.97 89.47 89.24 88.20
585 372 16 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 88.74 90.28 90.01 89.57 90.45 90.31 90.50 90.93 90.09 90.69 89.91 90.75 89.11 90.24 88.53 89.91 89.40 90.48 89.89 90.92 89.99 88.97 89.70 88.65 89.99 75.20
586 372 16 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 90.59 89.16 90.67 90.24 90.26 88.11 88.81 89.25 90.64 89.92 90.25 91.67 89.77 90.21 91.16 89.12 89.71 88.85 90.71 89.86 89.83 89.50 87.77 88.82 90.15 90.07
587 372 16 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 89.00 90.41 90.89 91.69 90.08 90.15 90.67 90.16 89.95 90.16 89.36 89.24 90.59 90.65 89.51 90.21 90.14 90.45 90.14 91.42 90.14 88.79 88.67 88.62 90.72 89.18
604 372 16 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 74.54 65.17 64.66 64.92 65.26 74.61 74.88 64.58 64.92 64.55 73.87 74.08 71.05 87.22 64.03 74.09 74.22 70.94 89.09 74.83 73.61 64.26 72.69 64.47 73.67 73.61
605 372 16 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 68.79 63.67 63.55 64.28 64.27 74.23 74.28 63.34 74.25 64.41 74.37 74.65 73.84 73.83 62.58 73.10 64.10 73.41 74.46 75.16 56.07 63.61 74.14 63.21 71.61 74.38
606 372 16 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 74.36 64.37 64.77 64.36 88.33 74.64 73.78 63.57 64.49 64.92 74.37 74.99 73.66 63.35 64.54 73.68 87.17 86.75 73.77 75.04 72.31 64.48 86.56 64.37 73.44 73.95
607 372 16 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 65.39 64.71 64.97 64.61 64.71 74.56 74.51 64.05 86.54 70.10 74.12 75.11 74.41 88.28 63.75 73.95 63.82 72.82 75.05 89.11 63.73 65.27 70.50 64.42 74.94 70.96
624 372 16 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 64.11 63.91 64.06 64.52 64.76 74.36 70.80 63.36 64.33 63.98 74.83 74.43 73.61 73.85 63.52 74.06 63.67 73.66 71.29 74.23 63.40 54.66 73.52 64.50 63.33 74.22
625 372 16 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 74.43 64.49 64.06 64.77 63.96 75.09 74.05 64.42 71.79 64.44 74.33 73.75 73.92 73.38 63.88 73.54 70.66 73.36 74.35 75.02 62.69 65.22 70.02 70.71 63.19 73.31
626 372 16 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 74.09 64.62 64.45 64.74 64.67 74.51 74.09 64.01 63.92 64.71 74.36 74.36 73.65 72.95 63.25 73.51 64.25 72.85 74.17 73.73 62.71 64.17 72.44 64.97 62.71 64.58
627 372 16 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 74.60 64.10 64.63 64.84 65.13 87.73 73.96 64.78 63.80 64.26 74.86 74.96 73.57 74.34 63.03 74.06 63.29 70.59 73.60 73.74 73.16 64.31 73.40 64.26 86.98 72.87
644 372 16 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 69.18 64.12 64.29 64.86 64.63 74.37 73.81 64.24 86.88 65.05 70.81 73.79 72.87 62.78 63.73 88.71 71.23 73.07 73.86 73.58 63.80 64.65 72.90 65.26 64.73 73.18
645 372 16 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 73.55 64.05 64.47 64.56 64.62 63.10 74.38 64.28 64.70 64.83 74.33 63.94 88.46 62.89 63.43 73.30 64.41 73.31 73.60 74.53 64.45 64.28 72.89 63.92 65.15 64.65
646 372 16 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 65.34 64.93 64.51 64.74 64.24 74.96 74.51 69.99 64.80 64.82 74.08 63.09 73.67 63.19 63.44 89.27 63.33 74.27 74.11 73.73 63.16 63.81 72.39 64.07 64.71 65.48
647 372 16 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 65.67 64.63 65.25 64.90 64.48 74.36 74.06 63.67 64.91 64.30 74.62 87.73 73.57 73.90 64.20 73.60 64.45 73.10 74.86 71.39 64.52 64.14 72.67 64.42 63.77 73.39
664 372 16 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 69.02 64.60 64.00 64.17 64.27 70.72 74.91 88.57 70.82 64.77 74.37 74.25 73.65 73.74 62.13 72.51 73.62 73.32 74.57 74.28 63.69 63.91 72.64 64.56 74.56 64.33
665 372 16 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 74.26 64.46 63.94 65.13 65.00 74.95 74.93 63.51 64.32 70.17 71.52 75.20 73.57 74.55 63.52 74.04 70.21 74.59 74.11 74.43 63.00 63.94 73.15 63.52 72.87 73.83
666 372 16 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 74.76 65.38 65.22 65.30 65.00 74.67 69.92 64.98 74.04 65.78 74.56 71.76 71.63 72.85 64.40 74.76 73.30 87.30 74.01 73.75 63.98 64.71 72.95 73.60 73.29 74.26
667 372 16 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 74.48 64.26 63.80 64.29 64.74 74.39 74.06 64.60 64.18 63.61 73.84 71.39 88.50 72.79 62.46 73.46 74.26 72.83 75.76 74.26 74.11 64.99 74.83 65.56 73.83 73.61


input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
4 372 16 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 92.13 90.03 91.21 93.68 90.91 92.15 92.58 93.98 89.66 91.39 90.65 91.98 92.93 93.71 88.78 93.16 92.87 93.73 94.88 92.31 94.11 49.17 93.67 86.99 84.48 92.42
5 372 16 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 93.51 90.57 92.80 90.41 94.07 91.14 93.65 93.53 93.49 93.69 92.13 90.20 93.33 93.39 93.37 92.58 93.09 93.53 88.46 92.71 92.63 91.12 91.05 92.03 85.56 94.22
6 372 16 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 92.05 94.25 91.21 92.07 92.05 87.54 91.05 89.09 92.84 92.46 91.00 93.21 92.75 89.39 86.00 93.17 91.45 91.35 93.69 89.22 92.59 80.87 92.02 91.47 90.67 88.71
7 372 16 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 90.92 90.93 92.46 93.54 90.77 92.58 91.78 93.29 93.91 93.50 92.43 86.00 92.37 93.30 92.13 93.35 49.17 92.38 94.85 92.69 94.48 93.14 92.81 91.35 49.17 49.17
24 372 16 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 92.56 92.98 89.99 92.31 92.93 90.60 92.89 94.37 94.61 93.21 92.46 92.50 92.30 93.28 91.09 93.69 94.77 92.45 93.76 94.01 93.40 94.74 93.70 92.80 92.98 94.00
25 372 16 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 93.29 91.94 93.10 91.80 93.68 90.74 93.97 95.10 94.04 93.91 92.99 93.71 89.47 92.79 92.96 93.71 92.89 91.11 94.17 93.90 93.74 93.87 94.23 94.40 94.42 94.34
26 372 16 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 93.14 93.65 92.74 91.50 93.27 92.91 95.38 94.35 92.94 94.58 93.40 93.00 94.60 83.45 93.06 92.99 91.67 93.04 94.65 94.10 94.13 92.28 94.55 94.22 94.82 92.91
27 372 16 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 94.03 94.15 93.00 92.48 92.71 92.65 94.27 93.88 49.17 93.61 93.90 91.86 94.86 94.36 91.82 93.57 94.62 91.53 93.77 92.55 71.47 94.95 94.98 93.28 93.18 92.11
44 372 16 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 49.17 93.34 94.38 94.02 91.61 92.08 92.99 93.00 93.68 91.73 93.87 91.42 49.17 93.54 91.59 94.88 95.05 93.57 92.51 94.32 94.31 94.33 94.57 94.22 94.59 94.87
45 372 16 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 93.83 94.29 92.60 93.40 93.15 90.55 92.57 93.63 94.17 94.75 92.85 93.54 93.67 94.11 93.98 93.41 49.17 92.24 93.31 93.93 94.70 94.72 92.82 90.45 95.02 93.01
46 372 16 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 94.98 93.75 94.15 89.26 92.38 93.69 94.44 95.95 92.61 93.69 93.94 91.82 95.29 93.35 95.03 94.89 94.09 93.88 93.37 92.61 95.19 94.47 94.33 92.17 92.05 91.56
47 372 16 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 49.17 92.96 93.98 94.06 92.71 94.37 92.79 49.17 91.40 94.58 92.94 92.49 93.27 93.67 93.56 93.76 95.42 92.98 93.41 89.74 94.24 93.84 88.58 93.78 93.26 94.71
64 372 16 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 50.17 58.87 67.68 58.42 65.79 76.28 51.34 57.37 87.15 51.77 76.49 57.01 55.76 75.98 58.62 75.96 86.99 51.12 57.25 56.65 67.03 58.95 79.99 57.19 68.51 57.54
65 372 16 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 73.76 58.29 74.67 59.67 59.19 90.69 83.04 58.49 87.77 74.55 76.42 57.32 87.74 64.73 58.60 75.61 84.36 60.58 76.38 77.08 58.69 58.17 58.13 58.25 57.83 57.79
66 372 16 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 74.77 80.13 59.15 58.20 59.15 75.67 75.79 58.20 51.25 57.19 88.23 76.42 88.84 76.34 69.09 75.59 57.80 60.45 88.71 77.10 57.43 57.47 57.27 56.73 56.95 57.17
67 372 16 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 73.21 59.17 74.46 59.43 60.23 88.33 75.07 58.74 59.13 83.94 57.29 75.35 76.03 59.21 57.89 74.43 58.52 88.24 76.99 56.88 58.52 58.62 58.30 57.59 58.34 57.80
84 372 16 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 59.32 49.17 75.17 57.52 57.83 57.58 75.20 59.91 51.82 57.66 76.26 56.88 75.99 76.34 56.99 51.07 77.07 87.83 76.22 92.62 57.48 56.14 56.22 56.41 66.21 56.41
85 372 16 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 87.21 57.49 58.97 58.25 67.86 76.46 74.67 57.36 89.52 75.93 76.98 57.54 89.64 57.23 56.11 90.74 56.37 76.29 76.57 75.56 63.04 56.90 56.16 57.05 56.44 59.86
86 372 16 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 72.93 58.31 83.79 58.56 49.17 75.64 75.60 58.31 55.49 58.26 75.19 85.62 75.54 91.63 58.03 75.12 87.48 86.85 76.34 57.33 71.68 57.14 56.81 57.07 57.13 57.43
87 372 16 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 58.89 49.17 57.77 58.69 74.24 75.82 88.96 57.29 57.80 75.75 89.98 77.21 54.25 56.88 57.20 88.45 64.01 87.99 76.47 56.04 57.70 57.15 56.61 56.80 56.85 56.28
104 372 16 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 75.06 58.95 75.42 58.28 58.55 76.19 75.03 57.50 88.48 61.70 91.58 57.04 87.89 56.49 57.10 88.24 57.77 75.65 75.87 56.88 57.84 86.27 76.23 56.68 85.27 57.14
105 372 16 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 86.07 58.20 74.71 57.26 74.64 76.23 86.85 90.58 75.53 75.79 75.48 75.91 89.62 75.91 57.86 90.41 88.90 89.94 76.02 56.86 55.97 57.19 50.56 56.10 55.98 56.87
106 372 16 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 74.94 57.70 58.83 75.26 85.52 75.90 83.39 87.44 61.35 57.49 76.17 77.29 91.10 75.33 87.67 90.49 76.11 89.88 57.33 56.73 56.44 55.86 81.95 55.99 55.98 59.02
107 372 16 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 74.64 74.73 88.51 58.97 59.13 90.33 75.32 57.79 88.81 75.38 90.88 91.74 89.73 90.28 58.95 75.60 75.38 87.47 57.70 91.55 75.95 56.56 56.49 56.45 57.32 57.01
124 372 16 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 74.15 59.78 59.60 59.85 59.34 76.32 51.47 57.58 59.01 58.46 86.94 57.27 75.57 57.65 58.29 57.28 58.20 75.27 76.85 49.79 72.21 59.17 57.73 57.80 57.90 57.87
125 372 16 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 73.77 50.53 59.19 58.75 73.99 50.69 75.06 58.47 64.17 59.41 88.09 57.61 75.87 77.06 58.26 76.41 63.88 62.81 75.85 77.36 57.21 68.71 57.02 57.57 58.79 57.75
126 372 16 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 61.90 55.76 66.50 57.72 58.76 75.47 74.48 56.75 74.87 55.60 77.19 56.32 90.07 88.95 57.40 79.22 54.70 63.19 90.72 56.18 56.05 56.79 56.92 56.45 55.63 55.80
127 372 16 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 50.67 77.26 87.78 74.95 73.98 75.38 74.45 58.82 75.68 58.56 76.28 88.51 88.68 50.73 58.81 89.38 57.34 74.62 75.91 90.68 65.43 58.09 57.65 57.70 86.09 58.12
144 372 16 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 73.46 58.44 59.47 59.30 74.59 75.71 73.38 58.25 87.50 80.00 76.31 88.48 57.21 58.51 58.58 75.44 58.15 77.20 89.93 76.55 65.42 57.23 57.02 57.15 56.66 57.83
145 372 16 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 74.92 63.06 58.51 58.17 58.08 75.54 75.07 58.57 75.25 56.66 77.00 89.91 75.70 75.04 49.17 57.82 49.49 89.26 76.51 56.28 56.66 57.39 76.57 59.84 56.07 64.83
146 372 16 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 75.02 58.51 74.51 57.87 59.22 76.25 84.52 56.82 75.34 57.16 57.04 76.37 77.10 84.33 61.63 75.60 57.01 56.43 89.31 50.83 56.80 55.77 56.10 56.68 56.47 58.10
147 372 16 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 59.16 76.12 74.61 57.66 50.62 76.05 74.75 57.01 76.16 61.80 76.80 57.29 89.42 64.37 56.90 89.92 87.24 76.91 89.33 55.93 56.28 56.71 50.81 56.37 57.35 56.12
164 372 16 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 90.57 58.78 58.54 58.79 58.51 75.48 89.96 57.75 75.15 57.27 58.19 57.62 90.14 75.35 58.52 68.45 57.41 86.57 75.99 76.27 56.25 55.86 76.44 56.57 56.59 56.54
165 372 16 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 53.64 57.51 65.03 58.30 86.10 76.34 88.12 57.40 75.44 57.25 75.87 57.86 75.66 74.89 58.53 90.58 91.74 89.37 76.02 76.84 56.33 56.35 76.24 56.57 56.93 56.08
166 372 16 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 75.17 74.74 67.61 58.35 57.55 76.17 88.71 58.47 91.53 57.47 76.04 57.55 75.30 75.23 58.01 76.21 76.30 75.51 75.66 76.77 56.19 56.88 56.33 56.12 56.23 87.60
167 372 16 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 88.25 55.92 62.61 58.22 75.15 75.78 90.95 58.55 89.63 75.32 58.26 56.90 90.08 74.75 58.17 89.88 57.46 56.51 76.27 56.89 56.43 57.05 56.42 56.44 56.67 56.44
184 372 16 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 90.97 84.24 92.92 91.27 90.54 92.24 92.68 90.01 90.97 92.28 85.66 93.30 92.60 91.43 90.50 92.35 90.90 91.58 90.19 92.28 91.90 91.59 93.55 77.71 87.62 92.53
185 372 16 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 92.45 90.70 93.18 93.76 92.45 92.54 93.37 92.34 93.42 92.42 92.51 90.14 93.85 94.56 94.25 92.97 92.83 92.55 93.94 93.63 93.33 93.82 94.93 92.44 90.07 93.54
186 372 16 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 93.99 89.38 91.48 90.48 90.69 91.34 93.73 92.97 93.72 92.53 92.85 90.47 94.25 93.33 92.16 92.18 95.60 89.73 93.92 92.91 90.54 93.56 94.24 91.88 92.29 90.77
187 372 16 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 92.43 90.88 89.60 91.80 94.74 91.49 92.17 93.47 93.10 92.24 92.30 92.00 91.91 93.83 92.89 92.48 92.30 92.22 91.92 89.62 93.03 93.68 92.58 93.13 94.46 91.04
204 372 16 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 93.33 90.57 93.75 90.50 91.82 92.19 93.02 93.45 92.57 92.84 90.29 92.95 93.64 93.87 94.46 94.33 93.35 92.42 92.15 92.43 90.75 93.90 95.00 90.27 94.30 90.67
205 372 16 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 92.35 92.67 90.55 94.05 90.26 92.83 95.55 93.30 91.84 93.65 88.73 92.00 92.94 93.52 94.11 93.69 94.59 93.38 90.04 90.32 94.82 94.38 93.19 93.99 92.93 92.85
206 372 16 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 91.02 91.34 92.80 94.81 92.49 90.98 92.88 94.17 92.57 94.31 92.25 92.08 92.93 93.41 94.13 93.67 95.00 92.31 93.20 92.53 94.36 93.66 93.43 94.36 93.25 94.24
207 372 16 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 92.03 92.68 93.36 90.69 93.70 90.32 93.22 94.10 93.84 93.70 89.51 93.15 93.82 93.03 93.43 93.87 94.35 94.05 93.31 92.23 94.34 93.92 93.68 93.56 93.01 92.06
224 372 16 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 93.40 94.37 94.03 92.58 93.99 93.40 92.70 95.32 94.47 92.88 89.84 91.89 93.85 94.41 91.84 93.86 93.44 92.99 92.14 93.32 94.98 94.68 93.96 94.51 95.10 94.37
225 372 16 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 95.41 93.30 93.55 93.21 92.65 92.50 92.85 94.57 90.90 93.69 94.38 91.47 94.65 94.47 90.51 93.57 94.29 89.84 93.41 93.58 94.48 95.23 93.17 91.80 93.59 91.32
226 372 16 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 94.45 91.72 93.66 93.60 93.53 91.21 93.97 95.09 92.54 94.28 90.28 92.62 93.24 96.13 92.73 94.55 93.87 91.09 92.23 92.95 94.17 94.49 92.77 93.10 94.45 87.88
227 372 16 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 93.90 92.57 94.32 92.77 94.13 89.94 95.25 95.40 93.21 94.17 92.74 92.34 93.02 94.32 91.98 92.80 93.62 94.14 94.10 93.24 92.61 94.10 94.70 94.39 94.22 77.29
244 372 16 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 62.44 57.04 57.00 63.41 56.39 82.11 53.08 56.72 56.59 88.60 76.96 56.70 76.15 59.30 56.79 64.33 56.96 75.12 76.95 56.45 57.18 57.44 56.48 56.58 57.26 57.21
245 372 16 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 56.81 69.21 63.24 59.12 59.25 75.99 74.13 67.46 58.11 58.45 92.11 56.95 75.93 75.42 57.90 56.47 57.53 88.29 56.76 89.72 57.83 57.33 56.87 57.66 57.84 57.11
246 372 16 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 73.96 64.22 50.38 58.64 59.62 76.05 74.54 59.05 58.90 58.84 75.41 76.34 74.58 61.69 62.50 60.00 62.47 60.19 76.59 56.15 57.99 57.61 58.79 58.03 58.92 63.73
247 372 16 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 74.55 59.03 75.75 58.00 57.43 75.88 89.86 80.12 56.87 89.07 76.96 77.30 75.71 56.01 58.87 88.22 64.59 56.55 89.72 56.14 74.27 61.82 56.61 56.31 56.73 56.55
264 372 16 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 56.98 59.99 50.90 74.89 50.98 76.36 74.18 58.50 87.79 89.06 88.48 91.55 89.20 75.39 59.20 74.95 58.19 87.83 75.79 76.18 57.18 57.05 75.97 57.41 57.46 58.00
265 372 16 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 56.15 74.93 86.95 58.02 58.78 75.87 75.48 58.05 75.73 57.39 76.16 90.92 76.48 49.66 56.94 75.17 76.76 87.63 76.71 76.67 56.51 57.94 56.66 56.91 56.87 56.94
266 372 16 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 74.67 58.11 59.01 58.40 74.41 75.81 90.02 57.55 88.93 58.16 76.57 57.54 88.00 57.08 57.13 75.49 56.84 88.11 57.20 76.99 56.46 56.28 50.19 56.26 58.07 57.20
267 372 16 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 64.49 57.91 57.59 72.06 64.80 89.74 87.64 56.46 50.09 76.15 76.50 56.78 91.66 75.23 57.76 75.81 56.76 82.52 76.02 90.12 57.33 57.22 75.32 57.05 56.22 56.86
284 372 16 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 86.70 59.29 74.85 58.96 74.52 75.06 75.44 58.32 74.95 58.56 75.43 76.63 88.72 74.23 57.82 76.88 59.23 49.17 75.74 92.27 56.78 57.47 56.77 56.96 57.25 57.25
285 372 16 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 75.19 58.57 58.26 58.79 60.98 75.36 75.06 58.29 87.66 87.33 91.60 57.05 89.55 50.74 57.99 75.43 57.70 75.49 76.33 75.61 56.76 56.24 49.94 56.57 57.03 56.42
286 372 16 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 74.00 70.54 58.69 58.31 59.01 57.70 74.93 58.26 74.51 90.02 75.04 58.39 89.83 74.25 58.75 85.95 83.76 76.62 57.20 56.98 56.92 56.44 76.11 56.57 57.32 56.42
287 372 16 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 76.22 58.81 59.09 57.95 75.42 75.78 74.88 57.59 74.60 57.82 89.89 76.07 91.34 58.63 57.35 75.07 75.11 90.38 90.89 91.70 56.96 57.10 76.17 56.67 56.29 57.10
304 372 16 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 75.52 55.65 56.82 56.72 57.13 77.23 74.46 56.81 74.29 87.67 77.35 55.85 64.99 53.92 56.21 76.16 54.14 64.55 77.35 77.07 55.95 56.03 56.49 55.52 63.33 55.40
305 372 16 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 51.91 58.98 51.46 59.03 51.52 66.63 75.64 57.13 75.34 57.49 76.74 56.93 74.81 57.66 57.35 76.37 57.54 74.82 76.79 57.19 56.99 56.84 84.40 57.71 57.13 56.63
306 372 16 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 50.29 58.23 82.93 50.82 74.45 76.00 87.19 57.36 75.09 60.33 56.89 56.61 76.32 56.17 50.83 87.15 57.27 56.25 77.03 55.76 58.10 56.59 56.78 56.71 56.62 56.29
307 372 16 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 74.43 58.71 58.34 58.70 60.07 75.84 79.95 57.76 57.44 57.91 50.25 56.58 76.45 58.42 59.18 87.57 57.66 56.60 76.62 90.77 58.17 68.05 73.20 56.67 57.80 57.42
324 372 16 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 74.31 58.17 58.52 67.27 59.58 86.96 75.08 85.49 85.71 50.92 75.59 57.85 76.12 88.61 59.41 86.46 89.80 67.55 75.91 75.91 58.16 58.82 57.47 56.91 57.64 57.10
325 372 16 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 85.24 57.86 52.67 57.21 75.46 75.76 87.78 58.78 86.69 57.37 75.71 75.78 86.68 92.06 57.95 88.74 75.92 58.22 76.60 76.29 56.99 55.87 57.01 57.01 56.77 57.50
326 372 16 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 74.72 75.32 75.32 50.00 59.10 75.99 74.82 90.56 89.29 57.73 75.52 57.07 76.46 50.98 57.16 76.25 57.76 74.85 76.71 86.87 56.12 58.16 50.01 57.12 57.11 57.11
327 372 16 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 75.37 58.47 61.14 57.95 53.63 76.12 91.09 63.81 57.85 58.09 76.21 57.31 89.04 88.30 58.00 75.76 49.40 75.27 50.24 56.78 56.96 57.08 56.76 57.41 57.35 57.10
344 372 16 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 57.88 58.70 58.67 58.27 58.45 75.53 90.52 76.04 89.07 90.93 75.24 75.64 88.08 75.14 58.36 90.27 58.02 49.33 91.04 57.30 57.32 56.44 56.78 57.18 67.61 56.81
345 372 16 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 74.63 57.80 81.29 75.17 49.64 75.72 88.43 57.72 90.77 57.70 90.57 75.65 86.28 51.00 58.16 75.94 90.56 75.67 75.49 56.65 56.84 56.83 75.75 56.95 56.48 57.16
346 372 16 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 75.24 64.47 88.84 58.87 58.30 75.48 88.93 58.47 75.78 56.48 89.59 76.15 75.19 90.25 58.77 75.44 50.23 90.61 76.16 76.33 56.26 57.07 56.51 57.01 56.82 62.67
347 372 16 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 74.15 87.61 58.67 58.45 58.39 89.05 88.72 57.52 89.82 75.05 75.97 90.15 88.84 57.66 49.01 91.31 89.48 74.93 91.03 77.12 56.92 56.36 56.51 56.91 56.93 57.24
364 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 92.33 94.45 92.97 94.14 93.21 91.76 92.51 91.93 92.46 92.69 93.46 89.89 91.57 93.43 93.17 92.74 93.27 92.41 92.66 92.51 93.78 90.81 92.45 92.91 93.58 92.80
365 372 16 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 92.04 92.29 92.91 91.24 93.57 93.59 90.23 91.10 91.55 92.82 93.28 92.18 93.65 92.17 93.11 90.40 93.55 92.45 90.17 91.49 92.48 94.25 92.84 93.07 93.89 92.01
366 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 92.34 92.56 93.06 93.04 93.89 91.68 92.30 92.52 91.90 91.73 92.41 92.55 92.29 92.76 94.20 92.92 93.44 91.97 93.54 92.52 94.24 94.07 92.62 93.55 91.52 92.06
367 372 16 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 93.42 94.00 93.65 92.29 93.10 88.73 90.10 91.36 92.23 93.95 91.58 91.08 92.43 94.40 90.37 93.81 92.82 94.50 91.51 93.09 92.67 93.38 93.51 91.42 91.69 90.48
384 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 91.08 93.56 92.63 93.09 92.31 87.91 91.92 92.60 91.78 92.57 92.30 91.84 92.08 91.55 93.58 93.42 93.14 92.47 93.51 91.08 93.23 93.16 92.44 92.78 92.44 93.31
385 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 93.00 94.19 93.79 92.98 93.28 90.66 91.21 91.85 92.42 93.46 92.50 92.84 92.33 93.35 93.45 93.96 93.31 92.95 91.64 90.73 93.92 94.03 93.20 93.45 92.91 92.01
386 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 91.75 93.45 92.65 92.41 92.77 91.41 93.54 93.02 91.40 93.14 92.76 91.99 92.33 94.09 91.93 92.58 93.73 92.05 92.35 92.96 93.84 93.04 93.89 92.46 93.02 91.63
387 372 16 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 92.78 93.09 91.86 93.83 92.32 90.87 92.87 92.27 91.27 92.30 91.97 92.13 91.49 93.96 93.39 92.06 93.45 93.36 88.08 88.49 94.18 91.97 92.47 92.12 92.06 92.12
404 372 16 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 92.58 92.90 92.38 93.01 92.47 89.26 93.58 92.14 92.21 92.39 91.89 90.59 93.60 93.19 93.06 93.34 93.01 90.31 93.09 91.19 94.12 78.20 94.14 94.27 76.68 92.81
405 372 16 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 92.29 93.03 92.15 92.82 93.26 91.35 94.47 93.59 91.58 93.59 92.15 92.41 92.89 93.40 94.10 93.61 94.20 90.88 92.50 92.38 93.20 93.11 93.72 92.92 76.87 91.32
406 372 16 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 93.38 93.29 92.45 92.72 93.00 91.44 93.11 93.64 92.90 92.74 92.68 93.46 93.64 94.50 93.94 91.47 94.06 91.41 93.68 93.04 93.15 93.73 92.79 93.31 94.40 91.22
407 372 16 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 92.30 92.80 92.53 91.97 94.26 91.60 94.01 91.95 91.67 90.11 92.84 92.85 92.89 93.74 93.11 93.17 93.40 92.43 93.13 92.08 94.34 93.53 93.03 92.21 94.03 93.04
424 372 16 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 69.84 57.94 58.46 58.23 59.68 74.14 74.78 58.82 88.43 58.83 76.69 74.11 67.43 73.32 59.24 72.67 69.26 74.16 75.29 74.78 57.74 59.22 74.73 57.96 90.04 74.99
425 372 16 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 74.68 57.69 58.14 57.89 57.94 90.10 75.06 57.52 59.43 57.88 69.17 75.71 74.93 73.68 58.43 74.80 74.70 74.18 76.14 88.08 57.19 56.74 74.88 58.23 74.05 57.20
426 372 16 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 70.62 57.82 57.88 57.51 58.20 74.61 75.58 57.89 57.72 68.58 69.50 75.43 73.86 74.29 58.21 74.66 74.98 74.59 76.10 74.83 57.71 57.25 76.04 57.20 56.43 57.73
427 372 16 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 74.27 58.11 58.72 57.85 58.23 75.91 68.89 68.37 76.14 58.89 74.38 75.06 75.38 74.22 58.69 74.30 70.02 74.39 74.47 69.76 75.09 57.15 75.16 67.50 73.81 88.30
444 372 16 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 74.44 59.37 58.88 58.98 58.45 75.09 74.63 58.99 67.43 58.27 75.12 75.60 74.11 73.87 58.33 73.72 60.12 73.43 75.35 73.95 57.23 58.11 75.78 57.27 76.09 57.53
445 372 16 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 73.58 57.35 57.84 57.51 59.15 74.89 73.60 58.11 58.14 58.67 75.11 74.26 72.44 68.87 57.84 73.81 58.63 74.49 74.88 75.28 57.18 56.85 75.72 68.79 74.96 69.07
446 372 16 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 74.44 58.47 58.49 58.37 58.70 75.39 91.55 58.97 57.80 57.77 75.59 74.91 74.66 72.95 58.46 73.02 58.23 73.79 75.42 75.18 57.16 58.00 75.77 59.06 67.67 58.38
447 372 16 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 74.32 58.26 68.42 58.03 58.14 74.66 74.57 58.50 59.15 58.67 75.11 75.05 90.31 74.44 58.27 73.00 75.61 74.21 74.84 75.58 57.66 57.12 76.35 57.01 75.25 76.24
464 372 16 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 58.51 58.67 58.74 58.55 59.02 75.53 74.58 58.42 92.01 57.67 76.09 74.92 74.00 57.84 58.05 71.33 58.83 73.42 74.91 75.16 57.07 58.24 75.41 57.03 59.94 57.86
465 372 16 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 58.22 58.63 58.58 58.58 59.19 75.70 73.97 68.17 57.88 59.01 75.55 90.42 68.83 74.10 58.46 73.42 57.65 71.97 90.35 75.31 57.75 57.43 75.58 58.68 75.45 57.78
466 372 16 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 58.40 58.15 58.71 58.22 60.35 75.96 73.81 58.36 58.65 57.79 75.37 75.58 74.63 59.43 58.88 72.62 58.96 73.29 75.15 75.56 57.36 57.75 74.02 57.62 75.73 58.47
467 372 16 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 59.93 58.62 58.71 58.53 58.88 74.67 74.50 57.47 58.98 58.56 74.62 75.22 74.43 69.65 59.02 72.48 90.68 73.47 75.35 70.22 56.51 57.99 76.14 58.67 58.16 57.78
484 372 16 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 69.04 57.20 91.28 58.85 59.04 76.44 73.69 59.51 58.20 68.90 74.68 75.12 72.96 68.27 59.30 74.17 72.43 75.42 75.37 75.46 74.77 57.75 75.05 57.66 68.10 75.64
485 372 16 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 66.93 57.70 58.02 58.68 57.95 75.33 88.81 56.62 69.21 91.75 75.60 74.73 75.12 74.18 58.12 89.77 57.64 73.54 71.01 75.59 56.22 57.82 74.71 58.43 75.62 75.34
486 372 16 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 73.69 59.11 65.54 59.34 58.83 67.77 75.40 57.60 74.25 59.51 69.85 74.62 68.75 73.64 59.95 74.55 51.46 72.40 75.37 69.91 57.28 58.53 75.49 57.64 74.34 75.65
487 372 16 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 74.71 57.91 88.09 58.12 58.43 73.66 75.28 58.33 91.11 57.82 68.68 69.31 74.67 68.92 58.69 69.02 88.98 72.35 69.23 75.08 57.40 91.52 69.68 73.63 68.98 75.58
504 372 16 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 75.40 57.74 69.25 57.59 58.09 73.72 91.02 58.93 73.85 58.39 76.29 75.04 74.56 72.14 57.18 74.48 74.21 69.21 76.36 75.06 56.85 57.45 75.31 56.62 75.48 57.10
505 372 16 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 73.60 58.17 89.36 58.03 57.72 75.17 74.63 57.55 56.77 57.80 74.64 74.81 72.83 74.68 58.99 72.74 72.83 72.52 69.13 75.89 58.40 57.46 74.56 56.70 75.97 76.42
506 372 16 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 58.36 58.01 58.81 57.76 59.81 74.73 73.03 57.84 73.93 57.95 68.18 90.11 89.34 74.24 59.55 75.04 58.58 73.43 74.86 76.11 57.38 57.82 69.69 57.46 57.72 57.06
507 372 16 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.32 58.43 58.23 58.68 59.19 73.94 71.96 58.87 58.20 58.28 69.53 75.21 74.00 73.60 58.62 72.91 69.19 73.56 74.41 74.25 58.49 57.61 75.47 57.25 68.67 75.59
524 372 16 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 68.72 58.71 58.26 59.02 59.62 76.30 89.33 90.40 68.04 57.62 75.80 75.26 74.66 58.01 58.56 68.03 58.35 73.83 74.65 75.12 58.96 57.50 75.18 57.34 75.24 57.68
525 372 16 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 88.40 58.13 58.94 59.14 59.37 74.89 73.32 59.18 58.45 58.67 75.12 58.96 73.95 73.65 58.38 74.49 59.29 68.51 74.74 75.67 58.48 58.67 75.91 57.48 57.85 75.86
526 372 16 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 58.99 58.12 58.99 58.35 57.97 56.71 75.63 58.68 58.20 68.79 75.06 70.06 74.85 58.39 57.70 72.87 57.79 67.97 75.18 69.44 57.23 57.99 74.81 57.32 75.97 75.23
527 372 16 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 74.44 59.15 89.91 59.74 59.50 58.15 74.10 58.67 58.87 58.39 69.60 68.47 75.15 74.98 59.55 68.30 58.72 88.88 74.25 75.28 56.38 59.98 75.56 58.14 58.09 76.51
544 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 92.04 93.31 90.75 91.33 91.74 92.63 92.27 92.51 92.04 92.34 91.87 91.55 93.03 91.97 93.12 92.90 93.37 92.92 92.54 92.57 92.43 92.64 92.66 90.94 92.76 91.86
545 372 16 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 92.61 92.29 91.89 92.51 92.68 93.45 93.46 92.48 91.53 91.75 92.33 90.26 91.17 93.84 92.71 91.86 87.03 93.11 91.64 90.46 93.07 93.06 92.46 91.65 93.53 92.32
546 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 92.05 92.66 92.67 92.13 93.35 91.26 92.58 92.05 89.67 92.15 91.88 92.38 91.79 93.28 91.29 92.75 93.32 94.02 92.89 93.17 93.06 93.03 93.26 92.52 93.32 92.52
547 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 91.30 92.83 91.60 93.66 92.78 92.48 92.23 93.01 92.68 92.21 93.86 91.41 91.37 92.39 89.62 92.25 93.46 92.87 91.15 91.82 92.68 93.36 88.56 92.58 91.90 92.71
564 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 93.06 93.96 91.88 92.59 92.33 91.54 92.42 91.85 92.85 90.85 94.35 88.24 91.45 91.84 95.11 90.16 91.51 92.80 92.70 92.75 92.23 93.22 93.13 92.63 94.21 93.04
565 372 16 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 91.62 93.66 93.62 92.32 92.46 87.91 92.37 91.66 91.67 91.76 92.47 91.99 89.85 93.96 93.34 92.07 93.61 92.45 89.63 90.12 93.84 93.05 93.93 93.10 92.84 92.28
566 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 91.24 92.53 93.39 93.39 92.33 91.96 91.67 92.54 91.55 93.12 92.33 91.25 93.09 92.90 93.61 92.88 94.31 93.12 92.64 92.69 93.30 92.07 94.16 92.40 93.12 90.72
567 372 16 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 92.87 93.08 93.11 91.13 93.90 92.40 92.36 92.56 92.04 91.85 93.42 91.63 91.83 93.05 92.51 92.98 93.13 91.77 89.50 92.81 94.10 94.38 93.19 93.15 94.43 91.62
584 372 16 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 91.69 94.06 93.06 92.73 93.05 92.48 92.82 92.86 92.16 91.16 92.09 89.87 92.80 92.95 92.16 91.51 92.94 91.41 92.89 92.09 93.67 93.39 92.00 92.05 92.94 90.18
585 372 16 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 91.32 93.14 92.76 90.70 92.55 92.70 94.05 94.45 92.73 93.42 93.16 91.52 92.24 93.32 93.09 93.73 93.64 94.09 92.23 92.12 94.73 93.91 94.13 92.91 92.47 77.25
586 372 16 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 92.49 92.67 93.91 92.50 92.90 91.48 93.45 93.11 91.83 90.97 93.08 93.25 92.57 93.45 92.96 91.85 93.22 92.55 92.43 91.59 94.71 92.86 92.85 91.76 93.57 91.98
587 372 16 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 93.31 92.47 93.67 92.81 92.98 91.69 94.14 92.87 91.69 93.83 94.06 91.16 92.56 92.88 93.10 92.96 93.27 94.36 93.46 93.04 93.41 93.34 93.09 92.69 92.32 92.70
604 372 16 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 74.86 59.46 59.70 59.95 59.15 74.94 74.59 59.29 59.22 59.52 75.11 74.44 68.54 89.25 59.55 75.29 73.73 69.27 89.90 75.01 74.96 58.32 75.07 58.88 76.11 75.71
605 372 16 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 68.44 57.31 57.97 57.88 57.46 75.40 74.60 57.33 74.11 58.20 75.37 76.71 74.27 74.49 57.16 72.35 58.33 73.75 74.88 76.33 48.25 56.36 75.42 57.00 69.34 75.38
606 372 16 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 74.44 58.79 57.98 58.68 92.05 76.55 73.89 57.35 58.75 58.37 74.86 75.65 74.35 58.47 59.02 75.52 88.86 89.34 75.03 75.03 73.96 57.91 90.30 58.36 75.92 74.56
607 372 16 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 58.25 59.11 59.07 58.83 60.63 74.38 74.70 58.99 89.53 67.87 75.18 74.44 74.27 89.37 58.49 74.37 58.71 73.87 74.49 89.56 57.53 58.87 68.61 58.26 75.70 67.81
624 372 16 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 58.29 58.31 58.25 58.49 59.02 75.80 68.73 57.67 57.70 58.89 75.63 75.46 74.23 73.86 58.74 74.46 58.71 74.36 69.36 74.38 57.15 47.95 74.80 58.24 56.67 76.45
625 372 16 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 73.51 57.53 58.35 58.57 57.97 75.43 74.52 58.58 69.51 57.85 75.61 75.05 74.17 74.17 58.77 72.99 68.48 73.14 75.66 74.86 57.09 58.95 68.49 69.45 56.37 74.32
626 372 16 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 74.33 57.94 59.75 59.07 58.45 75.53 74.54 58.23 58.89 58.49 74.68 75.26 74.36 72.58 58.80 74.77 57.32 74.25 75.64 74.67 57.03 57.19 75.16 57.96 56.87 58.43
627 372 16 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 74.98 58.09 58.60 58.14 58.48 89.72 73.55 59.29 58.32 59.05 75.77 75.65 74.65 74.63 58.10 74.95 58.14 69.29 75.40 74.41 75.64 57.23 75.91 56.91 88.63 75.43
644 372 16 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 71.46 59.00 58.96 58.85 59.44 75.12 74.12 58.99 89.02 57.76 69.27 74.38 73.92 58.24 58.67 88.61 68.97 73.96 75.21 74.97 55.17 58.29 75.71 58.79 57.37 75.31
645 372 16 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 74.43 58.11 58.98 57.61 58.82 57.73 74.19 59.08 58.32 57.46 75.55 59.10 88.30 57.98 59.12 73.37 59.12 72.73 74.44 74.43 57.23 57.26 74.93 56.51 58.00 56.83
646 372 16 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 59.10 58.15 58.23 58.57 58.94 76.05 74.59 68.25 58.21 59.16 75.06 58.13 74.68 59.39 58.74 90.30 57.35 75.71 75.17 74.82 56.64 57.69 76.10 57.04 60.45 58.63
647 372 16 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 59.18 58.63 59.25 58.44 58.45 75.79 73.89 58.22 59.35 58.27 74.92 91.72 71.74 74.97 58.60 72.57 59.12 74.29 75.03 70.31 57.59 57.72 76.45 57.72 58.02 75.82
664 372 16 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 68.03 58.57 58.19 58.43 58.26 68.52 74.36 89.26 68.61 57.64 75.36 75.52 74.25 74.96 57.35 74.67 74.71 74.14 75.13 75.30 57.75 57.03 75.19 57.06 75.83 56.63
665 372 16 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 74.93 58.71 59.09 58.39 58.45 75.54 75.25 58.00 59.52 68.19 70.27 74.83 72.88 74.97 59.01 74.38 69.49 74.38 75.78 73.34 58.38 58.03 75.47 57.09 74.94 75.51
666 372 16 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 74.98 59.73 60.45 59.17 59.19 74.93 69.13 60.15 73.88 58.71 76.26 69.72 67.45 74.02 59.43 74.26 74.07 88.88 76.30 74.18 57.66 59.20 74.99 75.39 74.88 75.42
667 372 16 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 74.41 58.14 58.29 57.24 58.02 75.62 73.85 58.78 58.21 56.96 76.05 68.68 90.65 75.18 57.83 73.50 74.82 74.74 76.84 74.50 75.07 60.15 75.94 57.21 76.14 75.50
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues = []
pvalues_real = []

for _,index in enumerate(dt_valid_sub.index):
  _, p_value = stats.ttest_ind(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')
  pvalues_real.append(p_value)
  pvalues.append((p_value >= 0.05)*1)

  

dt_valid_sub['pvalues'] = pvalues_real
dt_valid_sub['sig'] = pvalues


dt_valid_sub1 = dt_valid_sub.query('sig == 1')


max_indexx = dt_valid_sub1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
544 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 91.80 90.66 89.94 90.48 90.14 92.50 89.20 89.98 89.72 89.89 90.71 91.28 90.89 90.77 90.12 90.96 90.81 91.07 91.73 91.33 89.36 90.16 90.15 87.45 89.64 89.32
546 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 90.48 90.29 91.53 90.24 90.14 89.13 91.42 89.05 90.21 90.46 91.04 90.26 90.14 90.75 89.83 90.83 90.18 91.15 91.61 91.02 88.69 89.09 88.97 88.27 91.08 89.75
547 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 88.22 91.78 89.63 90.66 90.89 91.19 90.07 91.62 89.81 89.60 91.12 90.58 92.60 90.47 90.61 90.67 90.44 92.16 90.29 91.07 90.18 90.53 89.50 89.07 89.26 89.51
364 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 91.83 90.65 90.52 90.84 91.25 90.71 90.46 90.08 90.23 91.16 90.44 90.50 90.70 90.03 89.08 92.09 91.46 90.49 91.05 90.14 90.32 89.07 88.99 88.95 88.58 89.92
365 372 16 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 89.89 90.04 90.61 89.50 90.34 90.99 90.32 91.40 89.33 90.11 90.67 90.40 91.27 89.43 90.37 90.47 90.40 89.39 92.19 91.14 89.34 89.04 88.82 88.23 89.45 89.02
366 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 88.09 90.31 89.47 89.60 89.78 89.14 88.60 90.69 89.88 90.90 90.89 90.47 92.26 89.33 90.11 90.91 89.57 91.24 90.05 89.90 90.76 90.01 90.68 89.30 89.74 89.41
564 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 88.86 90.97 90.45 89.55 90.32 91.81 91.16 89.89 91.35 92.64 91.10 90.29 90.72 90.53 90.88 92.72 91.17 91.43 89.90 90.35 88.72 89.03 89.06 88.50 89.53 89.44
566 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 91.04 89.42 90.70 90.58 90.29 91.38 90.16 89.90 90.43 90.31 90.96 89.94 90.66 90.62 89.87 90.61 89.18 90.45 89.87 89.76 90.14 89.40 88.86 89.05 89.87 89.06
384 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 91.12 91.37 90.78 90.27 90.99 88.86 91.50 90.69 90.38 90.43 90.98 88.94 89.60 88.67 90.91 89.61 91.14 90.66 91.23 92.01 89.22 88.75 89.48 88.20 87.71 89.54
385 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 89.83 90.67 90.50 90.65 91.48 89.89 90.60 90.62 90.17 90.69 90.08 92.40 90.50 89.58 90.93 91.17 90.55 90.64 92.41 90.96 88.98 89.34 89.52 88.77 89.10 88.37
386 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 89.92 90.27 91.34 89.98 91.18 89.01 90.26 91.03 90.44 91.14 89.61 90.59 90.23 91.07 90.15 90.17 91.61 88.91 90.55 91.07 89.59 89.70 88.24 88.81 88.80 89.55
587 372 16 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 89.00 90.41 90.89 91.69 90.08 90.15 90.67 90.16 89.95 90.16 89.36 89.24 90.59 90.65 89.51 90.21 90.14 90.45 90.14 91.42 90.14 88.79 88.67 88.62 90.72 89.18
405 372 16 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 89.73 90.68 89.80 89.82 90.74 89.26 90.14 91.24 88.89 89.60 90.26 90.95 91.67 89.63 90.39 89.39 90.36 90.55 90.43 89.42 89.36 89.19 88.73 89.65 76.12 90.33
Size of the All data:  (136, 29)
Size of the Sig data:  (13, 29)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params1 = dt_valid.loc[dt_valid_sub1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params = optimal_params1.reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
2 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 92.04 93.31 90.75 91.33 91.74 92.63 92.27 92.51 92.04 92.34 91.87 91.55 93.03 91.97 93.12 92.90 93.37 92.92 92.54 92.57 92.43 92.64 92.66 90.94 92.76 91.86
5 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 92.05 92.66 92.67 92.13 93.35 91.26 92.58 92.05 89.67 92.15 91.88 92.38 91.79 93.28 91.29 92.75 93.32 94.02 92.89 93.17 93.06 93.03 93.26 92.52 93.32 92.52
0 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 91.30 92.83 91.60 93.66 92.78 92.48 92.23 93.01 92.68 92.21 93.86 91.41 91.37 92.39 89.62 92.25 93.46 92.87 91.15 91.82 92.68 93.36 88.56 92.58 91.90 92.71
3 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 92.33 94.45 92.97 94.14 93.21 91.76 92.51 91.93 92.46 92.69 93.46 89.89 91.57 93.43 93.17 92.74 93.27 92.41 92.66 92.51 93.78 90.81 92.45 92.91 93.58 92.80
9 372 16 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 92.04 92.29 92.91 91.24 93.57 93.59 90.23 91.10 91.55 92.82 93.28 92.18 93.65 92.17 93.11 90.40 93.55 92.45 90.17 91.49 92.48 94.25 92.84 93.07 93.89 92.01
10 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 92.34 92.56 93.06 93.04 93.89 91.68 92.30 92.52 91.90 91.73 92.41 92.55 92.29 92.76 94.20 92.92 93.44 91.97 93.54 92.52 94.24 94.07 92.62 93.55 91.52 92.06
1 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 93.06 93.96 91.88 92.59 92.33 91.54 92.42 91.85 92.85 90.85 94.35 88.24 91.45 91.84 95.11 90.16 91.51 92.80 92.70 92.75 92.23 93.22 93.13 92.63 94.21 93.04
8 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 91.24 92.53 93.39 93.39 92.33 91.96 91.67 92.54 91.55 93.12 92.33 91.25 93.09 92.90 93.61 92.88 94.31 93.12 92.64 92.69 93.30 92.07 94.16 92.40 93.12 90.72
7 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 91.08 93.56 92.63 93.09 92.31 87.91 91.92 92.60 91.78 92.57 92.30 91.84 92.08 91.55 93.58 93.42 93.14 92.47 93.51 91.08 93.23 93.16 92.44 92.78 92.44 93.31
4 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 93.00 94.19 93.79 92.98 93.28 90.66 91.21 91.85 92.42 93.46 92.50 92.84 92.33 93.35 93.45 93.96 93.31 92.95 91.64 90.73 93.92 94.03 93.20 93.45 92.91 92.01
6 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 91.75 93.45 92.65 92.41 92.77 91.41 93.54 93.02 91.40 93.14 92.76 91.99 92.33 94.09 91.93 92.58 93.73 92.05 92.35 92.96 93.84 93.04 93.89 92.46 93.02 91.63
11 372 16 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 93.31 92.47 93.67 92.81 92.98 91.69 94.14 92.87 91.69 93.83 94.06 91.16 92.56 92.88 93.10 92.96 93.27 94.36 93.46 93.04 93.41 93.34 93.09 92.69 92.32 92.70
12 372 16 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 92.29 93.03 92.15 92.82 93.26 91.35 94.47 93.59 91.58 93.59 92.15 92.41 92.89 93.40 94.10 93.61 94.20 90.88 92.50 92.38 93.20 93.11 93.72 92.92 76.87 91.32
Size of the test data:  (13, 34)

Difference

Code
diff = dt[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt.columns,test_data_1.columns)):   
   diff[f'col_diff_{i}'] = (np.array(dt[cols[0]]) - np.array(test_data_1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff['negative_count'] = diff.apply(count_negatives, axis=1)
diff.sort_values(by =["negative_count"],inplace = True, ascending=False)

html_table = diff.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

# 
# show(diff)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
365 372 16 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.15 2.25 2.30 1.74 3.23 2.60 -0.09 -0.30 2.22 2.71 2.61 1.78 2.38 2.74 2.74 -0.07 3.15 3.06 -2.02 0.35 3.14 5.21 4.02 4.84 4.44 2.99 4
564 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.20 2.99 1.43 3.04 2.01 -0.27 1.26 1.96 1.50 -1.79 3.25 -2.05 0.73 1.31 4.23 -2.56 0.34 1.37 2.80 2.40 3.51 4.19 4.07 4.13 4.68 3.60 4
547 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.08 1.05 1.97 3.00 1.89 1.29 2.16 1.39 2.87 2.61 2.74 0.83 -1.23 1.92 -0.99 1.58 3.02 0.71 0.86 0.75 2.50 2.83 -0.94 3.51 2.64 3.20 3
384 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -0.04 2.19 1.85 2.82 1.32 -0.95 0.42 1.91 1.40 2.14 1.32 2.90 2.48 2.88 2.67 3.81 2.00 1.81 2.28 -0.93 4.01 4.41 2.96 4.58 4.73 3.77 3
385 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.17 3.52 3.29 2.33 1.80 0.77 0.61 1.23 2.25 2.77 2.42 0.44 1.83 3.77 2.52 2.79 2.76 2.31 -0.77 -0.23 4.94 4.69 3.68 4.68 3.81 3.64 2
546 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.57 2.37 1.14 1.89 3.21 2.13 1.16 3.00 -0.54 1.69 0.84 2.12 1.65 2.53 1.46 1.92 3.14 2.87 1.28 2.15 4.37 3.94 4.29 4.25 2.24 2.77 1
364 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.50 3.80 2.45 3.30 1.96 1.05 2.05 1.85 2.23 1.53 3.02 -0.61 0.87 3.40 4.09 0.65 1.81 1.92 1.61 2.37 3.46 1.74 3.46 3.96 5.00 2.88 1
544 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.24 2.65 0.81 0.85 1.60 0.13 3.07 2.53 2.32 2.45 1.16 0.27 2.14 1.20 3.00 1.94 2.56 1.85 0.81 1.24 3.07 2.48 2.51 3.49 3.12 2.54 0
366 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.25 2.25 3.59 3.44 4.11 2.54 3.70 1.83 2.02 0.83 1.52 2.08 0.03 3.43 4.09 2.01 3.87 0.73 3.49 2.62 3.48 4.06 1.94 4.25 1.78 2.65 0
566 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.20 3.11 2.69 2.81 2.04 0.58 1.51 2.64 1.12 2.81 1.37 1.31 2.43 2.28 3.74 2.27 5.13 2.67 2.77 2.93 3.16 2.67 5.30 3.35 3.25 1.66 0
386 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.83 3.18 1.31 2.43 1.59 2.40 3.28 1.99 0.96 2.00 3.15 1.40 2.10 3.02 1.78 2.41 2.12 3.14 1.80 1.89 4.25 3.34 5.65 3.65 4.22 2.08 0
587 372 16 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.31 2.06 2.78 1.12 2.90 1.54 3.47 2.71 1.74 3.67 4.70 1.92 1.97 2.23 3.59 2.75 3.13 3.91 3.32 1.62 3.27 4.55 4.42 4.07 1.60 3.52 0
405 372 16 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.56 2.35 2.35 3.00 2.52 2.09 4.33 2.35 2.69 3.99 1.89 1.46 1.22 3.77 3.71 4.22 3.84 0.33 2.07 2.96 3.84 3.92 4.99 3.27 0.75 0.99 0

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_13 90.910000 0.845123
mAP_valid_abs_values_19 90.880769 0.882246
mAP_valid_abs_values_16 90.754615 0.904172
mAP_valid_abs_values_20 90.737692 0.755449
mAP_valid_abs_values_18 90.660769 0.836286
mAP_valid_abs_values_5 90.586154 0.531876
mAP_valid_abs_values_2 90.578462 0.589121
mAP_valid_abs_values_11 90.555385 0.576810
mAP_valid_abs_values_10 90.545385 0.811199
mAP_valid_abs_values_17 90.539231 0.704940
mAP_valid_abs_values_8 90.488462 0.728856
mAP_valid_abs_values_3 90.473846 0.623465
mAP_valid_abs_values_12 90.449231 0.858744
mAP_valid_abs_values_7 90.350769 0.808965
mAP_valid_abs_values_6 90.309231 1.205753
mAP_valid_abs_values_4 90.296923 0.620234
mAP_valid_abs_values_15 90.212308 0.557063
mAP_valid_abs_values_14 90.117692 0.723754
mAP_valid_abs_values_9 90.060769 0.594116
mAP_valid_abs_values 89.985385 1.237906
mAP_valid_abs_values_21 89.600000 0.651780
mAP_valid_abs_values_26 89.415385 0.473139
mAP_valid_abs_values_22 89.392308 0.549972
mAP_valid_abs_values_23 89.205385 0.655955
mAP_valid_abs_values_24 88.682308 0.567306
mAP_valid_abs_values_25 88.430769 3.798273


We then apply the hyperparameters to the test set and average the results.

Code
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_17 93.375385 0.663684
mAP_test_abs_values_21 93.215385 0.628498
mAP_test_abs_values_2 93.176154 0.706748
mAP_test_abs_values_22 93.086923 0.903441
mAP_test_abs_values_15 93.030000 1.401196
mAP_test_abs_values_5 92.907692 0.604292
mAP_test_abs_values_11 92.862308 0.845460
mAP_test_abs_values_23 92.770769 1.376012
mAP_test_abs_values_14 92.770000 0.747117
mAP_test_abs_values_4 92.740769 0.829251
mAP_test_abs_values_18 92.713077 0.879833
mAP_test_abs_values_24 92.684615 0.633425
mAP_test_abs_values_10 92.653846 0.819345
mAP_test_abs_values_3 92.624615 0.855060
mAP_test_abs_values_16 92.579231 1.114132
average_map 92.538047 0.247422
mAP_test_abs_values_19 92.442308 0.967489
mAP_test_abs_values_7 92.422308 1.139979
mAP_test_abs_values_8 92.418462 0.652787
mAP_test_abs_values_13 92.340769 0.695479
mAP_test_abs_values_20 92.285385 0.769390
mAP_test_abs_values_26 92.206923 0.730678
mAP_test_abs_values 92.140769 0.699577
mAP_test_abs_values_9 91.813077 0.798179
mAP_test_abs_values_25 91.681538 4.514148
mAP_test_abs_values_6 91.532308 1.310948
mAP_test_abs_values_12 91.514615 1.249144
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues_mw = []
pvalues_real_mw = []

for _,index in enumerate(dt_valid_sub.index):

  _, p_value_mw = stats.mannwhitneyu(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')#, method = 'asymptotic')
  pvalues_real_mw.append(p_value_mw)
  pvalues_mw.append((p_value_mw >= 0.05)*1)
  

dt_valid_sub_mw['pvalues_mw'] = pvalues_real_mw
dt_valid_sub_mw['sig_mw'] = pvalues_mw

dt_valid_sub_mw1 = dt_valid_sub_mw.query('sig_mw == 1')


max_indexx = dt_valid_sub_mw1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
544 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 91.80 90.66 89.94 90.48 90.14 92.50 89.20 89.98 89.72 89.89 90.71 91.28 90.89 90.77 90.12 90.96 90.81 91.07 91.73 91.33 89.36 90.16 90.15 87.45 89.64 89.32
546 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 90.48 90.29 91.53 90.24 90.14 89.13 91.42 89.05 90.21 90.46 91.04 90.26 90.14 90.75 89.83 90.83 90.18 91.15 91.61 91.02 88.69 89.09 88.97 88.27 91.08 89.75
547 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 88.22 91.78 89.63 90.66 90.89 91.19 90.07 91.62 89.81 89.60 91.12 90.58 92.60 90.47 90.61 90.67 90.44 92.16 90.29 91.07 90.18 90.53 89.50 89.07 89.26 89.51
364 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 91.83 90.65 90.52 90.84 91.25 90.71 90.46 90.08 90.23 91.16 90.44 90.50 90.70 90.03 89.08 92.09 91.46 90.49 91.05 90.14 90.32 89.07 88.99 88.95 88.58 89.92
366 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 88.09 90.31 89.47 89.60 89.78 89.14 88.60 90.69 89.88 90.90 90.89 90.47 92.26 89.33 90.11 90.91 89.57 91.24 90.05 89.90 90.76 90.01 90.68 89.30 89.74 89.41
564 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 88.86 90.97 90.45 89.55 90.32 91.81 91.16 89.89 91.35 92.64 91.10 90.29 90.72 90.53 90.88 92.72 91.17 91.43 89.90 90.35 88.72 89.03 89.06 88.50 89.53 89.44
566 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 91.04 89.42 90.70 90.58 90.29 91.38 90.16 89.90 90.43 90.31 90.96 89.94 90.66 90.62 89.87 90.61 89.18 90.45 89.87 89.76 90.14 89.40 88.86 89.05 89.87 89.06
384 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 91.12 91.37 90.78 90.27 90.99 88.86 91.50 90.69 90.38 90.43 90.98 88.94 89.60 88.67 90.91 89.61 91.14 90.66 91.23 92.01 89.22 88.75 89.48 88.20 87.71 89.54
385 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 89.83 90.67 90.50 90.65 91.48 89.89 90.60 90.62 90.17 90.69 90.08 92.40 90.50 89.58 90.93 91.17 90.55 90.64 92.41 90.96 88.98 89.34 89.52 88.77 89.10 88.37
386 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 89.92 90.27 91.34 89.98 91.18 89.01 90.26 91.03 90.44 91.14 89.61 90.59 90.23 91.07 90.15 90.17 91.61 88.91 90.55 91.07 89.59 89.70 88.24 88.81 88.80 89.55
Size of the All data:  (136, 29)
Size of the Sig data:  (10, 34)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params_mw1 = dt_valid.loc[dt_valid_sub_mw1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params_mw = optimal_params_mw1.reset_index()
optimal_params_mw.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_mw1 = pd.merge(optimal_params_mw, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub_mw = test_data_mw1[list(test_data_mw1.columns[test_data_mw1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
2 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 92.04 93.31 90.75 91.33 91.74 92.63 92.27 92.51 92.04 92.34 91.87 91.55 93.03 91.97 93.12 92.90 93.37 92.92 92.54 92.57 92.43 92.64 92.66 90.94 92.76 91.86
5 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 92.05 92.66 92.67 92.13 93.35 91.26 92.58 92.05 89.67 92.15 91.88 92.38 91.79 93.28 91.29 92.75 93.32 94.02 92.89 93.17 93.06 93.03 93.26 92.52 93.32 92.52
0 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 91.30 92.83 91.60 93.66 92.78 92.48 92.23 93.01 92.68 92.21 93.86 91.41 91.37 92.39 89.62 92.25 93.46 92.87 91.15 91.82 92.68 93.36 88.56 92.58 91.90 92.71
3 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 92.33 94.45 92.97 94.14 93.21 91.76 92.51 91.93 92.46 92.69 93.46 89.89 91.57 93.43 93.17 92.74 93.27 92.41 92.66 92.51 93.78 90.81 92.45 92.91 93.58 92.80
9 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 92.34 92.56 93.06 93.04 93.89 91.68 92.30 92.52 91.90 91.73 92.41 92.55 92.29 92.76 94.20 92.92 93.44 91.97 93.54 92.52 94.24 94.07 92.62 93.55 91.52 92.06
1 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 93.06 93.96 91.88 92.59 92.33 91.54 92.42 91.85 92.85 90.85 94.35 88.24 91.45 91.84 95.11 90.16 91.51 92.80 92.70 92.75 92.23 93.22 93.13 92.63 94.21 93.04
8 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 91.24 92.53 93.39 93.39 92.33 91.96 91.67 92.54 91.55 93.12 92.33 91.25 93.09 92.90 93.61 92.88 94.31 93.12 92.64 92.69 93.30 92.07 94.16 92.40 93.12 90.72
7 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 91.08 93.56 92.63 93.09 92.31 87.91 91.92 92.60 91.78 92.57 92.30 91.84 92.08 91.55 93.58 93.42 93.14 92.47 93.51 91.08 93.23 93.16 92.44 92.78 92.44 93.31
4 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 93.00 94.19 93.79 92.98 93.28 90.66 91.21 91.85 92.42 93.46 92.50 92.84 92.33 93.35 93.45 93.96 93.31 92.95 91.64 90.73 93.92 94.03 93.20 93.45 92.91 92.01
6 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 91.75 93.45 92.65 92.41 92.77 91.41 93.54 93.02 91.40 93.14 92.76 91.99 92.33 94.09 91.93 92.58 93.73 92.05 92.35 92.96 93.84 93.04 93.89 92.46 93.02 91.63
Size of the test data:  (10, 34)

Difference

Code
diff_mw = dt_mw[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt_mw.columns,test_data_mw1.columns)):   
   diff_mw[f'col_diff_{i}'] = (np.array(dt_mw[cols[0]]) - np.array(test_data_mw1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff_mw['negative_count'] = diff_mw.apply(count_negatives, axis=1)

diff_mw.sort_values(by =["negative_count"],inplace = True, ascending=False)


html_table = diff_mw.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

key_values = ['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']
print('Are the keys of the valid and test dfs same?: ',dt_mw[key_values].equals(test_data_mw1[key_values]))
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
564 372 16 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.20 2.99 1.43 3.04 2.01 -0.27 1.26 1.96 1.50 -1.79 3.25 -2.05 0.73 1.31 4.23 -2.56 0.34 1.37 2.80 2.40 3.51 4.19 4.07 4.13 4.68 3.60 4
547 372 16 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.08 1.05 1.97 3.00 1.89 1.29 2.16 1.39 2.87 2.61 2.74 0.83 -1.23 1.92 -0.99 1.58 3.02 0.71 0.86 0.75 2.50 2.83 -0.94 3.51 2.64 3.20 3
384 372 16 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -0.04 2.19 1.85 2.82 1.32 -0.95 0.42 1.91 1.40 2.14 1.32 2.90 2.48 2.88 2.67 3.81 2.00 1.81 2.28 -0.93 4.01 4.41 2.96 4.58 4.73 3.77 3
385 372 16 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.17 3.52 3.29 2.33 1.80 0.77 0.61 1.23 2.25 2.77 2.42 0.44 1.83 3.77 2.52 2.79 2.76 2.31 -0.77 -0.23 4.94 4.69 3.68 4.68 3.81 3.64 2
546 372 16 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.57 2.37 1.14 1.89 3.21 2.13 1.16 3.00 -0.54 1.69 0.84 2.12 1.65 2.53 1.46 1.92 3.14 2.87 1.28 2.15 4.37 3.94 4.29 4.25 2.24 2.77 1
364 372 16 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.50 3.80 2.45 3.30 1.96 1.05 2.05 1.85 2.23 1.53 3.02 -0.61 0.87 3.40 4.09 0.65 1.81 1.92 1.61 2.37 3.46 1.74 3.46 3.96 5.00 2.88 1
544 372 16 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.24 2.65 0.81 0.85 1.60 0.13 3.07 2.53 2.32 2.45 1.16 0.27 2.14 1.20 3.00 1.94 2.56 1.85 0.81 1.24 3.07 2.48 2.51 3.49 3.12 2.54 0
366 372 16 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.25 2.25 3.59 3.44 4.11 2.54 3.70 1.83 2.02 0.83 1.52 2.08 0.03 3.43 4.09 2.01 3.87 0.73 3.49 2.62 3.48 4.06 1.94 4.25 1.78 2.65 0
566 372 16 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.20 3.11 2.69 2.81 2.04 0.58 1.51 2.64 1.12 2.81 1.37 1.31 2.43 2.28 3.74 2.27 5.13 2.67 2.77 2.93 3.16 2.67 5.30 3.35 3.25 1.66 0
386 372 16 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.83 3.18 1.31 2.43 1.59 2.40 3.28 1.99 0.96 2.00 3.15 1.40 2.10 3.02 1.78 2.41 2.12 3.14 1.80 1.89 4.25 3.34 5.65 3.65 4.22 2.08 0
Are the keys of the valid and test dfs same?:  False

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_16 90.974 0.887521
mAP_valid_abs_values_19 90.869 0.873873
mAP_valid_abs_values_13 90.830 0.924794
mAP_valid_abs_values_18 90.820 0.847703
mAP_valid_abs_values_20 90.761 0.705478
mAP_valid_abs_values_10 90.722 0.840156
mAP_valid_abs_values_11 90.693 0.502639
mAP_valid_abs_values_5 90.646 0.579122
mAP_valid_abs_values_2 90.639 0.649743
mAP_valid_abs_values_17 90.611 0.795885
mAP_valid_abs_values_12 90.525 0.886720
mAP_valid_abs_values_3 90.486 0.668102
mAP_valid_abs_values_6 90.362 1.326171
mAP_valid_abs_values_8 90.355 0.722115
mAP_valid_abs_values_7 90.343 0.925275
mAP_valid_abs_values_4 90.285 0.448658
mAP_valid_abs_values_9 90.262 0.461129
mAP_valid_abs_values_15 90.249 0.592611
mAP_valid_abs_values_14 90.182 0.763789
mAP_valid_abs_values 90.119 1.381026
mAP_valid_abs_values_21 89.596 0.721175
mAP_valid_abs_values_22 89.508 0.574259
mAP_valid_abs_values_26 89.387 0.425573
mAP_valid_abs_values_23 89.345 0.691797
mAP_valid_abs_values_25 89.331 0.893426
mAP_valid_abs_values_24 88.637 0.547379


We then apply the hyperparameters to the test set and average the results.

Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params = dt_valid.loc[dt_valid_sub_mw1.index].iloc[:, :6].reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, how='left')
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_21 93.312750 0.653087
mAP_test_abs_values_2 93.230000 0.654538
mAP_test_abs_values_22 93.083250 0.845760
mAP_test_abs_values_14 93.057750 0.875066
mAP_test_abs_values_25 92.909500 0.807182
mAP_test_abs_values_18 92.854750 0.679227
mAP_test_abs_values_17 92.842750 1.751869
mAP_test_abs_values_5 92.831750 0.599161
mAP_test_abs_values_23 92.712000 1.315776
mAP_test_abs_values_15 92.702750 1.363160
mAP_test_abs_values_4 92.652500 0.867291
mAP_test_abs_values_11 92.625250 0.749081
mAP_test_abs_values_3 92.567500 0.856854
mAP_test_abs_values_16 92.531500 0.965679
mAP_test_abs_values_24 92.499000 0.716329
average_map 92.445529 0.227208
mAP_test_abs_values_10 92.432500 0.718830
mAP_test_abs_values_8 92.260250 0.526086
mAP_test_abs_values_7 92.204000 0.915442
mAP_test_abs_values 92.191750 0.686309
mAP_test_abs_values_26 92.136500 0.704209
mAP_test_abs_values_13 91.977250 0.826506
mAP_test_abs_values_9 91.771750 0.761839
mAP_test_abs_values_20 91.745000 1.351267
mAP_test_abs_values_19 91.652500 1.544206
mAP_test_abs_values_12 91.520500 1.076040
mAP_test_abs_values_6 91.278750 1.682754


Summary using radar plot

Code
def extract_number(text):
    if isinstance(text, str):
        matches = re.findall(r'\d+', text)
        return int(matches[0]) if matches else 1
    return 1

res_valid1['id'] = res_valid1.index.to_series().apply(extract_number)
res_test1['id'] = res_test1.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid1,res_test1])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test1 = res_test1.sort_values(by=['id']).reset_index().query("index !='average_map'")
data_range1 = np.array(list(res_test1['mean']) + list(res_valid1['mean']))
categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test1['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid1['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "T-Test",
        'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range1.min()), round(data_range1.max()) + 1]
    )),
  showlegend=True
)

fig.show()

##############


res_valid2['id'] = res_valid2.index.to_series().apply(extract_number)
res_test2['id'] = res_test2.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid2,res_test2])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test2 = res_test2.sort_values(by=['id']).reset_index().query("index !='average_map'")

data_range2 = np.array(list(res_test2['mean']) + list(res_valid2['mean']))

categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test2['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid2['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "MU-Test",
         'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range2.min()), round(data_range2.max()) + 1]
    )),
  showlegend=True
)

fig.show()




Bit size 8

The results in this presentation are from two experimental designs:

The thresholding is based on fixed values between -1 and 1 on a step size of 0.1.

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
0 372 8 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 64.70 64.74 67.66 65.99 72.66 74.80 71.10 69.21 70.44 67.90 64.24 64.35 56.45 63.24 65.33 65.46 64.91 66.93 62.86 63.97 66.97 66.64 67.21 65.87 66.63 65.80
1 372 8 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 81.50 65.57 63.00 65.36 66.05 62.78 42.66 70.40 65.80 64.07 65.08 64.34 73.22 64.57 65.13 56.20 64.26 64.88 62.50 55.78 66.53 66.00 66.92 42.66 66.17 64.80
2 372 8 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 76.05 65.47 71.76 66.03 63.60 56.73 70.51 64.17 65.43 65.19 73.38 42.66 73.49 63.37 63.25 72.22 63.13 70.41 62.95 72.18 66.67 42.66 64.84 65.79 65.16 65.54
3 372 8 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 63.50 64.36 63.01 63.97 63.33 56.59 55.16 64.61 72.75 63.77 62.11 62.77 71.65 62.69 61.78 63.25 42.66 61.09 62.90 62.02 66.88 65.90 63.93 64.42 64.55 64.19
20 372 8 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 75.96 65.17 64.68 65.31 64.95 62.88 73.32 66.03 79.43 65.83 63.83 81.91 74.70 64.30 64.90 73.80 64.60 73.81 56.01 64.64 67.00 65.37 55.86 65.59 65.33 66.48
21 372 8 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 58.86 57.28 73.86 63.31 64.34 64.35 83.93 64.33 64.55 42.66 57.04 62.95 73.86 62.96 63.49 74.48 62.66 74.47 83.77 75.33 63.30 64.87 65.45 64.98 65.84 64.98
22 372 8 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 72.13 64.89 72.28 64.86 64.68 74.94 80.86 64.81 74.53 63.85 84.53 63.09 68.22 68.47 64.20 74.28 62.71 67.71 75.00 62.55 63.47 64.59 64.63 63.57 64.20 64.37
23 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 59.96 64.06 64.86 65.40 65.06 74.20 65.07 64.79 64.14 80.98 71.95 63.58 81.00 64.63 63.31 78.69 64.08 78.65 74.48 84.80 69.89 64.79 63.85 64.97 65.74 64.67
40 372 8 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 73.91 64.55 55.75 64.56 74.77 75.16 73.14 64.30 64.00 64.56 74.86 62.75 85.48 74.40 63.29 71.17 63.12 55.64 83.74 63.06 73.57 63.86 63.43 64.79 64.29 64.76
41 372 8 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 73.61 64.80 73.58 65.31 64.99 63.80 83.33 65.18 73.03 66.01 74.59 63.19 73.64 82.58 64.97 74.46 65.97 62.20 63.87 63.23 63.42 65.55 64.90 65.18 65.20 64.41
42 372 8 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 73.26 65.23 73.12 65.47 71.13 42.66 79.20 64.25 79.82 64.66 86.45 63.49 59.97 63.32 66.51 74.91 74.37 74.07 75.70 63.84 63.89 65.63 64.12 64.26 69.25 68.16
43 372 8 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 73.42 64.68 64.57 64.47 64.70 62.64 72.93 69.56 84.40 68.78 74.94 63.46 74.92 63.21 64.74 82.69 63.77 65.70 63.95 86.56 64.59 63.32 72.90 64.28 64.12 65.09
60 372 8 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 63.20 55.48 55.91 61.15 70.16 58.18 69.62 61.09 60.83 68.31 60.21 54.87 71.04 63.73 61.68 71.53 61.83 53.51 61.51 60.94 70.87 62.43 61.80 62.56 42.66 61.82
61 372 8 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 62.63 66.16 66.64 65.87 66.18 71.83 56.12 65.10 66.61 65.93 65.56 64.56 63.99 70.45 65.23 74.88 68.86 64.90 85.99 63.73 67.27 66.14 66.12 65.04 65.11 65.17
62 372 8 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 72.01 62.14 64.26 66.90 70.74 72.30 71.25 62.32 62.00 61.03 72.43 61.77 71.91 60.58 61.33 61.05 68.11 54.19 60.31 54.66 42.66 63.89 63.36 62.52 64.34 63.95
63 372 8 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 66.12 70.54 74.20 66.23 72.67 65.47 66.67 65.42 56.97 67.59 59.24 62.63 59.70 64.79 67.45 74.85 65.23 65.29 64.69 63.92 66.63 73.90 65.32 65.74 66.87 65.28
80 372 8 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 72.56 65.13 64.36 67.09 64.43 56.55 72.42 63.36 64.34 64.58 61.31 63.57 73.12 64.09 62.22 84.11 62.37 62.67 63.14 62.19 64.05 63.81 64.70 64.16 64.72 63.78
81 372 8 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 73.49 42.66 64.70 67.44 70.89 75.36 73.54 64.78 73.98 82.46 85.97 63.84 75.06 63.01 66.22 64.28 64.78 64.98 63.95 63.51 65.57 66.20 64.86 65.33 64.86 65.10
82 372 8 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 42.66 65.20 65.28 65.28 65.18 63.42 72.35 64.61 64.21 63.96 62.96 63.96 73.40 63.64 63.53 59.65 62.23 75.09 63.69 83.46 71.66 66.09 63.67 64.74 64.25 65.20
83 372 8 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 57.19 65.59 69.85 64.98 64.94 64.31 72.23 63.78 65.15 64.58 63.55 64.57 74.65 74.47 62.83 83.62 81.92 74.91 75.13 55.99 64.35 66.05 66.18 65.30 65.28 65.10
100 372 8 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 73.61 64.79 63.09 68.94 64.15 76.06 71.84 63.72 55.73 84.20 74.91 63.33 74.65 86.25 62.53 74.92 63.35 86.17 75.38 62.66 64.80 64.87 64.26 64.06 63.25 64.63
101 372 8 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 60.51 64.05 64.48 64.19 64.09 75.67 58.13 64.05 65.17 82.62 62.91 63.57 73.98 63.55 62.75 42.66 63.29 63.63 62.66 42.66 63.86 63.80 64.51 71.51 64.73 64.67
102 372 8 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 73.79 42.66 82.47 64.78 64.59 76.09 42.66 83.54 70.37 69.12 75.69 63.57 74.82 63.43 62.33 42.66 62.97 74.63 56.03 63.33 64.08 64.43 64.36 64.54 63.47 64.29
103 372 8 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 73.40 64.68 74.20 65.14 74.51 75.20 82.68 64.02 84.90 55.84 63.39 63.21 83.78 64.07 64.25 83.78 63.79 68.14 63.61 63.21 63.21 72.64 64.19 42.66 64.64 64.74
120 372 8 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 65.99 66.02 64.95 73.34 63.85 63.31 72.77 65.72 68.76 63.59 71.24 42.66 64.66 56.11 65.49 57.49 70.82 60.35 42.66 64.02 65.97 67.28 66.62 65.16 65.83 66.00
121 372 8 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 70.87 73.05 55.78 63.23 63.36 61.85 70.90 70.29 63.74 63.24 55.49 73.14 72.95 62.39 61.55 71.57 62.03 62.56 63.22 82.49 65.73 65.26 63.62 64.74 64.26 64.54
122 372 8 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 71.82 64.85 42.66 70.47 63.98 70.79 69.99 62.85 64.97 64.50 61.01 63.79 55.90 63.37 42.66 65.99 61.72 62.98 61.77 71.44 66.10 65.07 64.45 63.94 64.72 65.23
123 372 8 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 72.61 42.66 64.97 66.33 64.86 80.04 72.29 75.41 63.73 65.71 74.61 63.85 74.97 63.78 64.29 60.82 64.82 56.93 63.90 64.92 72.36 66.39 65.07 64.59 65.40 65.07
140 372 8 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 63.58 69.47 60.57 65.52 64.24 62.73 70.01 64.12 62.21 63.47 73.28 61.96 73.73 67.64 62.60 79.65 62.99 62.44 76.01 61.43 63.30 65.00 63.68 63.67 63.72 63.92
141 372 8 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 42.66 65.27 57.14 66.52 73.82 75.43 66.20 64.70 74.82 65.80 87.01 64.19 72.92 64.55 64.30 65.41 67.82 61.74 63.60 63.10 63.78 64.93 63.92 69.30 65.06 65.07
142 372 8 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 72.61 64.34 64.73 65.34 65.03 74.33 70.39 64.69 64.69 73.89 64.09 63.59 73.99 63.62 64.46 74.50 64.06 74.49 74.64 82.54 63.28 65.17 64.74 65.02 64.56 64.73
143 372 8 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 64.25 65.17 65.23 65.24 69.36 75.28 65.84 64.58 65.62 56.87 74.81 70.81 74.62 63.56 64.52 84.84 65.02 65.30 75.64 64.09 65.95 65.43 64.94 65.62 64.25 65.09
160 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 82.94 66.75 73.19 65.21 65.26 74.90 42.66 65.03 64.94 66.11 74.64 64.07 74.71 64.28 74.03 85.65 63.75 86.35 74.94 64.06 64.31 65.91 65.71 65.33 65.40 66.10
161 372 8 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 60.15 64.99 74.24 65.04 65.63 56.27 74.40 63.98 63.63 64.89 84.98 62.94 86.88 63.46 63.04 74.84 63.99 86.67 64.12 63.82 64.26 63.78 63.69 63.24 64.29 64.52
162 372 8 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 80.84 66.01 66.29 42.66 64.82 75.38 74.44 68.06 57.83 42.66 63.47 63.30 73.71 63.30 63.34 85.35 65.07 74.26 74.94 63.79 63.49 64.41 63.82 65.11 64.65 64.19
163 372 8 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 73.17 73.42 64.84 72.31 59.26 76.17 58.08 66.16 83.89 42.66 75.39 62.98 73.82 64.82 64.65 84.85 62.78 64.25 75.14 63.55 63.28 63.56 64.77 64.77 64.49 64.59
180 372 8 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 70.43 66.42 65.19 42.66 70.85 62.86 64.87 65.36 71.17 64.81 63.84 62.93 74.32 68.01 65.05 56.56 71.46 66.05 62.98 60.24 67.51 66.95 66.44 66.67 65.69 67.61
181 372 8 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 76.28 65.93 66.39 66.57 66.55 65.76 56.14 64.78 65.32 66.44 64.09 64.72 68.68 81.97 66.54 56.86 64.31 57.84 64.21 63.27 65.71 65.98 65.48 65.06 65.60 65.56
182 372 8 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 65.85 65.68 56.90 66.33 65.88 64.53 72.53 65.37 65.96 70.47 56.47 64.66 57.64 64.05 65.55 66.88 67.80 71.35 64.63 64.84 65.52 66.17 66.58 72.07 65.58 65.62
183 372 8 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 71.43 64.15 73.52 64.19 64.38 64.36 72.06 63.45 72.02 63.86 55.90 64.33 74.27 62.37 62.71 73.62 55.73 72.66 63.91 62.67 65.84 64.89 65.10 63.55 64.31 64.07
200 372 8 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 72.47 64.35 64.40 67.42 64.88 62.42 55.37 64.16 69.96 65.65 55.58 62.30 74.70 63.21 63.20 65.34 63.83 74.62 82.21 84.17 65.22 65.26 56.19 64.22 69.51 64.74
201 372 8 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 69.52 66.36 66.46 64.88 65.22 62.62 79.58 65.55 56.25 80.60 84.88 84.34 74.47 63.28 63.79 74.52 55.73 65.01 85.44 64.35 64.35 66.59 64.11 65.44 64.41 65.62
202 372 8 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 73.51 65.44 79.13 65.35 65.31 74.50 73.90 66.06 74.00 64.95 64.29 64.54 74.93 84.04 62.98 75.04 64.38 63.63 64.55 63.08 65.29 64.91 64.30 65.75 64.84 65.84
203 372 8 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 81.08 66.21 65.59 64.61 65.62 75.66 73.03 64.71 74.16 65.89 74.88 63.69 74.98 63.75 63.81 74.97 63.49 64.33 74.93 63.69 66.56 64.54 63.49 65.31 64.92 65.15
220 372 8 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 74.16 64.58 64.33 62.62 65.47 62.48 69.70 63.89 63.11 63.55 75.47 84.97 84.14 75.35 62.52 74.15 62.19 75.15 62.60 63.18 63.25 64.08 63.70 63.36 64.95 63.22
221 372 8 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 72.97 64.23 65.09 64.81 66.15 62.89 74.65 72.54 82.72 64.32 62.41 62.57 73.67 81.03 63.79 85.69 70.05 73.66 74.89 86.33 63.85 64.01 64.36 64.13 64.15 64.37
222 372 8 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 73.52 69.46 65.15 64.32 73.94 86.79 73.89 64.55 65.88 64.59 75.33 63.58 73.94 60.92 55.17 74.86 63.69 68.32 55.53 63.21 62.57 63.47 63.51 64.48 65.91 66.41
223 372 8 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 72.81 65.30 81.72 64.96 64.24 75.01 74.05 64.42 84.06 55.36 63.19 62.71 59.10 64.25 63.77 75.91 63.31 74.02 84.41 84.13 63.19 64.87 63.76 63.74 64.75 63.76
240 372 8 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 64.07 64.23 64.61 72.51 72.04 57.47 70.48 65.03 71.39 64.75 56.50 62.59 72.82 55.52 64.15 67.75 64.10 65.78 64.00 62.89 66.01 65.67 65.66 65.36 65.38 65.61
241 372 8 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 65.52 65.31 65.47 64.68 64.96 65.52 72.65 64.85 71.45 64.82 63.94 63.55 73.98 64.01 64.52 73.90 64.85 71.67 74.98 63.96 74.09 65.84 65.48 64.03 64.95 64.92
242 372 8 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 55.96 64.69 63.26 63.10 63.66 61.46 56.84 62.09 62.75 55.74 57.21 62.93 57.68 66.79 62.69 55.37 62.82 64.91 74.42 62.50 65.87 65.02 65.15 62.47 63.96 64.60
243 372 8 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 71.57 69.33 64.94 64.96 64.57 56.53 56.25 65.34 65.52 68.19 75.32 55.59 59.55 63.65 64.95 73.07 63.94 57.20 72.71 63.41 64.75 65.18 64.34 65.47 70.20 64.19
260 372 8 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 56.03 64.17 62.44 64.80 57.96 62.73 71.48 64.13 75.55 70.18 63.19 61.09 60.97 62.10 62.19 62.16 62.28 70.61 74.87 61.83 64.81 64.20 63.74 64.34 64.09 64.10
261 372 8 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 73.47 64.77 65.38 64.35 74.03 63.06 73.62 64.19 80.27 55.12 63.31 74.61 74.89 63.88 62.98 74.51 63.20 63.38 75.13 74.54 64.81 63.95 62.89 63.03 64.41 76.21
262 372 8 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 72.77 64.89 55.64 64.91 64.68 74.65 55.88 64.28 65.49 63.68 74.35 63.31 71.40 63.46 62.14 56.62 70.21 71.73 84.46 63.82 64.87 68.95 64.54 63.76 65.15 64.88
263 372 8 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 72.49 65.81 55.95 65.06 73.21 56.78 82.61 64.86 64.36 76.89 64.20 63.58 69.93 67.45 63.99 75.07 82.60 75.06 63.80 63.66 64.09 64.96 65.97 64.79 65.23 68.04
280 372 8 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 72.77 65.49 73.06 64.59 71.45 63.32 74.34 64.80 64.08 64.84 62.92 63.55 75.18 56.32 64.05 73.91 69.51 63.57 62.86 63.57 63.14 63.95 62.94 63.69 65.39 64.36
281 372 8 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 73.61 64.67 57.92 64.35 64.56 64.79 75.17 63.76 79.32 64.01 74.85 63.57 75.73 63.18 65.27 84.50 63.46 70.24 75.14 85.53 64.33 64.75 63.82 63.01 64.51 64.28
282 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 58.35 66.16 69.63 64.57 55.82 56.89 83.90 65.05 67.35 64.43 86.52 63.95 73.61 85.72 63.66 81.72 63.89 68.97 85.31 64.31 65.67 64.63 64.96 64.82 64.42 64.74
283 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 59.80 65.12 73.88 62.96 74.60 75.74 74.76 64.17 74.39 67.10 75.60 75.13 74.47 62.56 62.79 85.05 63.07 87.47 63.32 63.55 72.87 63.79 71.31 63.90 63.19 64.44
300 372 8 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 65.91 65.77 65.02 65.98 65.74 42.66 70.71 64.48 64.84 64.45 65.14 63.43 55.94 63.50 64.56 56.55 64.45 71.95 63.91 74.05 67.07 68.92 71.64 68.43 66.04 66.11
301 372 8 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 71.57 64.80 67.48 63.54 64.42 63.92 69.35 63.22 64.65 67.62 82.68 60.10 73.14 62.89 63.52 59.77 62.89 80.42 62.81 60.70 71.00 69.11 64.76 63.75 63.12 67.48
302 372 8 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 55.56 70.00 63.13 63.75 64.97 81.97 71.44 70.10 70.86 55.81 63.09 60.69 63.95 60.71 63.05 63.70 64.35 64.08 62.44 62.33 64.59 65.80 64.93 63.07 64.03 65.35
303 372 8 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 57.62 63.25 64.46 63.43 63.13 83.18 79.11 64.96 63.95 64.77 74.53 80.65 78.46 62.92 62.50 83.94 62.84 63.18 74.30 63.85 63.92 64.10 63.42 63.04 63.63 63.44
320 372 8 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 65.99 65.46 55.52 65.08 64.84 64.69 59.73 64.06 42.66 64.79 42.66 61.58 82.59 63.84 64.50 74.95 65.77 66.54 74.89 63.19 65.92 64.52 64.60 64.63 65.27 64.62
321 372 8 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 72.94 65.06 64.35 64.21 64.66 74.62 72.22 64.43 73.80 73.72 74.95 64.22 83.24 62.38 63.29 64.58 62.84 74.27 62.88 63.40 65.30 66.13 64.24 62.41 64.11 67.82
322 372 8 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 71.35 65.28 73.54 64.86 65.64 63.12 78.69 64.37 76.31 59.30 64.29 63.74 74.96 64.09 62.66 64.81 64.34 74.99 82.05 81.35 64.54 64.65 64.51 63.89 64.41 64.38
323 372 8 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 73.21 65.50 73.17 64.98 64.65 75.32 80.29 65.20 60.64 64.62 74.92 63.57 74.88 63.94 63.68 80.57 79.32 64.05 63.19 63.03 64.50 63.73 63.99 64.20 64.62 63.97
340 372 8 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 65.63 64.61 78.33 65.19 65.93 75.38 82.88 64.18 78.64 64.99 75.14 63.57 74.15 64.34 64.49 74.47 63.54 74.11 75.13 63.51 63.79 63.10 64.17 65.73 82.97 64.04
341 372 8 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 65.39 64.57 73.73 64.83 74.60 62.86 74.66 63.24 86.25 63.59 86.68 63.32 74.85 80.49 62.86 70.47 63.81 80.64 74.89 63.64 63.66 64.74 64.09 64.07 64.46 64.26
342 372 8 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 73.31 65.83 65.87 65.08 74.58 56.36 74.32 68.71 64.90 65.28 75.05 87.08 81.90 63.71 64.39 78.59 62.83 82.54 63.11 63.82 64.26 73.56 64.56 64.98 64.25 65.36
343 372 8 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 72.91 64.51 56.87 72.83 66.47 56.23 74.67 64.51 75.22 64.57 55.78 64.07 74.93 85.09 64.00 75.21 84.17 81.31 75.12 63.54 63.40 64.46 64.45 64.51 64.38 71.81
360 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 73.97 64.68 64.23 64.70 64.76 74.21 74.87 70.89 63.62 64.99 88.53 73.75 73.84 87.43 64.79 71.17 70.69 74.09 74.46 74.56 63.51 63.84 73.58 74.05 73.85 64.40
361 372 8 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 74.31 65.29 63.83 64.67 64.59 70.45 69.73 69.92 75.31 64.62 74.59 74.70 71.48 73.37 63.74 70.89 74.14 74.91 74.86 73.99 62.84 63.62 69.80 64.16 69.98 63.89
362 372 8 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 85.38 64.97 65.16 65.09 64.53 74.68 70.96 73.60 72.91 64.85 71.53 75.75 73.67 73.55 63.97 74.20 74.37 70.66 74.02 71.02 64.79 64.27 73.14 65.56 64.30 64.76
363 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 74.06 63.79 84.54 63.53 63.79 76.13 74.85 63.90 70.70 70.18 74.09 73.99 74.59 70.47 63.24 73.49 63.42 73.73 74.36 73.78 64.01 62.74 73.67 70.64 73.16 63.82
380 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 69.29 65.25 63.88 64.92 64.49 71.30 73.21 63.57 65.67 65.16 74.37 74.98 71.55 63.29 63.19 73.84 74.60 72.87 75.01 71.67 88.41 64.19 72.91 64.98 72.76 65.72
381 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 65.50 64.28 69.96 64.78 64.53 74.79 74.85 63.88 63.47 87.84 70.76 74.00 88.83 72.87 62.65 72.60 63.89 73.37 74.83 74.75 73.89 64.77 73.55 64.30 73.68 70.12
382 372 8 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 74.03 64.20 64.10 64.44 64.51 71.04 74.25 63.60 63.65 65.40 74.37 64.54 71.38 73.59 63.73 73.50 63.64 71.14 74.76 74.02 63.42 63.60 72.65 63.41 64.14 73.63
383 372 8 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 68.45 64.14 64.01 66.00 64.04 74.36 73.93 63.43 63.85 64.78 74.39 70.34 72.82 72.78 63.39 73.29 74.30 72.57 74.31 70.82 63.51 63.93 72.42 64.85 64.04 64.28
400 372 8 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 66.20 64.76 63.92 64.74 64.96 74.89 74.31 63.94 64.22 64.33 74.12 74.45 73.39 61.81 64.17 72.85 62.89 70.02 74.80 70.58 53.26 63.90 71.91 63.67 73.11 69.72
401 372 8 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 66.49 64.73 69.87 65.51 65.25 73.87 70.58 64.68 65.07 65.52 74.50 74.52 87.15 63.91 63.75 73.41 65.20 69.72 73.60 74.84 87.32 64.44 72.39 64.78 64.19 64.42
402 372 8 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 65.73 64.72 64.20 65.36 64.78 74.53 74.09 86.71 64.30 63.66 74.03 75.24 87.91 72.89 64.27 73.44 64.07 72.81 73.64 74.28 63.69 62.54 72.18 63.42 64.03 64.45
403 372 8 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 66.37 64.51 86.93 64.75 64.51 74.63 70.60 63.57 64.08 64.96 74.36 63.57 70.03 73.00 63.44 70.64 70.62 86.42 74.08 74.25 54.67 65.00 69.50 64.06 64.93 63.89
420 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 74.29 64.49 63.68 63.94 64.42 74.90 73.54 64.23 73.31 70.90 74.33 74.66 73.71 70.74 63.09 89.19 63.53 70.83 74.83 74.46 73.65 62.94 70.46 64.83 74.41 64.41
421 372 8 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 73.67 65.33 64.65 66.86 65.02 74.23 73.83 65.20 81.28 66.34 70.66 74.74 73.03 73.38 63.89 71.96 63.69 72.81 74.83 74.24 63.19 64.99 70.44 65.51 63.65 73.14
422 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 64.24 70.05 63.46 63.05 64.11 87.05 87.23 63.37 87.50 64.14 74.09 74.39 86.28 73.29 63.14 71.00 63.47 73.52 74.47 74.50 63.40 63.80 73.46 63.67 55.40 63.55
423 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 68.86 63.55 64.50 64.11 65.93 75.13 73.69 88.31 73.50 64.57 73.89 74.27 71.74 71.52 64.54 89.73 73.58 70.85 75.05 73.99 63.39 64.14 72.99 64.85 72.64 65.11
440 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 66.08 64.94 64.30 63.99 64.27 75.10 74.67 63.96 70.08 64.62 74.61 74.77 70.54 63.59 63.46 74.12 64.22 73.04 74.39 74.83 63.60 64.26 73.91 64.70 72.08 64.51
441 372 8 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 64.77 64.39 63.99 64.88 64.45 74.44 86.04 62.75 74.67 65.04 73.60 71.50 74.10 71.64 63.37 70.55 74.47 72.88 72.21 74.53 63.94 65.94 72.68 65.22 72.89 64.72
442 372 8 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 68.72 63.97 63.63 64.57 64.54 75.10 74.06 63.98 87.03 64.40 73.86 64.08 71.38 87.14 63.51 87.37 63.49 73.11 74.59 74.00 55.34 64.74 72.39 63.77 71.22 64.90
443 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 64.42 64.92 74.57 64.54 64.51 74.45 73.54 88.51 64.65 63.62 74.25 74.51 71.08 72.83 63.53 73.46 71.51 72.75 74.14 74.25 72.68 64.39 73.36 64.45 72.13 73.35
460 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 65.18 64.12 64.63 65.48 65.51 63.17 74.60 64.31 65.87 86.36 74.33 74.52 69.52 70.74 63.48 71.01 64.58 73.13 75.34 74.03 63.17 64.19 72.63 64.73 63.53 69.56
461 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 73.95 86.61 64.03 64.52 64.74 63.77 73.87 87.04 64.86 63.73 70.29 74.62 72.67 73.16 63.38 73.20 70.13 73.32 74.13 74.10 63.76 64.36 73.15 64.37 64.74 64.81
462 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 66.19 65.48 64.79 64.81 64.79 74.70 71.00 63.57 69.65 66.09 74.60 64.24 71.89 71.75 62.68 73.31 62.91 72.52 74.42 88.03 64.26 63.79 72.92 65.16 63.69 63.94
463 372 8 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 65.48 64.40 64.51 64.79 64.78 74.83 69.76 62.74 69.83 64.41 74.39 63.14 73.39 70.44 63.87 73.13 63.62 72.79 74.11 74.57 64.17 63.74 73.89 63.92 72.93 64.89
480 372 8 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 68.44 65.46 64.78 65.58 64.90 65.23 73.80 87.94 65.87 66.12 72.11 74.66 73.66 74.04 63.93 71.65 74.12 71.61 70.74 74.08 72.09 66.20 72.87 66.15 73.35 65.21
481 372 8 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 73.58 64.63 73.93 65.42 64.79 75.15 88.09 64.24 71.06 65.76 88.86 74.82 73.70 73.97 64.12 71.52 74.28 71.25 74.78 75.57 63.83 64.23 72.41 65.00 63.81 64.81
482 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 73.34 63.74 86.13 63.57 64.17 74.90 87.36 64.24 73.33 63.82 74.59 75.03 87.61 62.44 63.77 73.92 73.82 73.50 73.40 73.29 63.71 63.91 73.12 64.31 64.28 64.42
483 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 74.81 87.43 64.82 64.53 64.84 75.52 73.66 65.52 64.83 65.65 74.37 73.78 73.60 69.60 64.28 73.12 63.84 72.87 74.14 73.74 63.96 64.54 73.59 64.12 73.14 74.13
500 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 65.50 66.00 64.16 64.85 64.83 75.15 86.50 70.05 70.63 64.57 74.86 73.90 73.42 73.27 63.21 73.71 63.83 71.20 74.12 74.27 73.55 64.16 72.65 65.23 64.64 73.66
501 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 64.49 63.97 69.56 65.15 64.53 74.37 74.48 64.07 64.01 63.72 74.14 73.89 73.85 73.32 63.99 87.60 74.44 73.61 71.40 73.73 63.82 63.44 73.16 63.21 73.88 65.51
502 372 8 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 65.20 64.75 63.99 64.68 64.78 89.57 73.85 64.37 70.91 69.81 70.10 75.06 73.59 73.56 63.47 71.32 64.33 72.83 73.68 73.96 63.28 63.94 74.91 64.55 72.70 65.54
503 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.04 64.79 73.96 64.17 64.48 89.02 73.79 63.46 64.53 70.91 74.33 74.45 73.92 73.22 63.04 72.61 62.52 72.12 74.09 74.28 63.62 63.51 72.21 73.86 63.51 64.26
520 372 8 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 65.31 64.60 64.78 65.43 65.50 64.32 73.87 64.15 63.17 69.97 73.59 63.85 73.92 73.33 63.33 73.77 73.15 71.33 75.60 74.31 62.91 63.56 73.16 64.53 74.40 65.48
521 372 8 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 65.76 64.53 64.49 64.86 64.91 64.07 73.87 63.78 64.24 70.75 74.59 74.36 73.18 73.56 63.39 70.78 64.77 72.83 73.83 74.54 52.54 64.12 69.33 64.79 71.94 64.80
522 372 8 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 65.62 64.78 65.25 64.95 64.45 74.37 73.89 65.01 64.59 65.08 74.09 63.49 71.23 64.11 63.76 70.42 64.30 73.30 73.57 74.80 64.42 64.96 72.18 64.62 64.98 65.50
523 372 8 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 66.59 64.31 64.91 65.55 65.20 74.62 74.65 63.80 64.35 64.75 74.58 70.46 73.14 73.06 64.11 69.53 63.79 73.06 74.36 75.32 65.13 65.08 72.41 65.43 64.85 64.65
540 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 85.13 64.00 63.99 63.71 64.38 74.63 74.16 64.03 64.67 64.79 74.63 71.30 70.62 73.53 64.76 87.40 63.62 70.39 73.97 74.26 63.99 62.60 72.91 63.80 73.67 73.93
541 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 70.05 64.20 63.75 64.39 63.80 74.88 73.66 64.49 70.66 70.21 74.11 74.49 72.12 70.79 63.93 71.72 70.07 71.20 74.34 71.38 62.54 62.54 73.45 63.82 63.56 70.27
542 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 73.31 63.94 69.19 63.68 63.63 74.36 69.94 88.04 70.62 64.18 74.23 74.27 89.55 73.49 63.37 69.16 74.07 70.25 74.12 74.04 61.95 63.14 72.78 63.70 74.12 63.59
543 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 65.71 65.03 69.50 65.06 65.01 70.62 74.27 64.30 63.79 64.59 71.68 73.05 74.19 74.00 64.32 88.39 74.62 72.73 74.75 74.23 55.47 86.52 73.05 64.60 72.92 73.53
560 372 8 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 64.95 64.73 64.68 69.72 64.53 74.94 73.55 64.04 72.36 63.84 74.11 74.48 73.90 63.71 63.55 73.35 64.27 73.35 75.07 74.25 64.18 63.99 72.88 64.24 64.09 64.78
561 372 8 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 73.80 65.29 69.04 65.79 69.83 74.52 74.12 65.24 65.26 65.33 73.86 71.06 70.18 69.85 63.28 70.86 70.95 72.94 74.82 73.70 63.79 65.74 72.40 63.93 89.04 73.16
562 372 8 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 64.83 65.22 64.04 64.81 64.76 74.84 74.10 63.72 64.53 65.49 74.61 74.50 71.73 71.08 63.63 72.82 63.70 73.88 73.81 74.02 72.22 64.15 74.13 64.47 64.53 64.20
563 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 69.85 65.42 64.40 65.37 65.08 74.65 73.90 63.51 73.91 64.10 89.14 74.63 71.70 73.30 63.12 72.11 74.39 73.27 75.29 73.85 62.57 64.41 73.12 64.11 64.52 73.86
580 372 8 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 65.44 65.18 65.51 65.06 64.62 75.40 74.19 88.93 70.21 70.01 74.12 74.10 87.71 73.13 63.60 65.27 63.63 64.67 73.60 74.78 64.70 63.99 72.64 69.07 64.22 64.47
581 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 85.64 64.95 64.26 64.86 64.94 74.91 74.37 63.97 87.48 65.19 74.84 63.99 73.12 63.85 63.50 73.87 63.07 72.70 74.59 74.39 63.92 63.92 73.16 64.98 73.43 69.79
582 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 66.24 64.38 64.29 64.56 64.21 74.41 73.47 63.74 64.85 64.45 74.12 71.07 73.40 73.02 63.74 73.41 71.28 72.84 73.79 73.79 64.56 63.92 72.40 73.91 64.01 64.63
583 372 8 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 65.09 64.55 65.03 64.35 65.88 64.21 75.53 63.91 64.77 65.43 75.18 63.32 88.89 63.87 63.39 70.92 63.00 70.91 74.52 74.58 63.71 64.19 72.63 64.47 63.47 64.40
600 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 73.81 64.59 63.58 63.02 63.67 74.78 87.54 63.55 64.56 63.67 74.02 73.77 73.87 74.17 62.36 74.89 74.09 73.96 74.82 74.79 63.47 63.13 73.16 73.56 73.17 64.01
601 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 64.47 64.90 64.33 64.64 64.15 75.69 74.08 64.85 70.99 65.37 74.36 73.58 73.97 62.87 62.78 74.10 74.34 72.48 70.72 72.59 63.57 64.58 70.20 65.73 73.55 64.32
602 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 69.13 64.24 69.94 63.94 65.04 74.77 73.64 64.14 64.22 65.68 74.33 74.24 73.88 74.10 63.69 73.12 73.34 72.02 70.89 75.33 54.78 63.84 72.22 64.42 73.83 64.19
603 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 74.02 63.04 63.20 63.58 63.35 87.92 70.76 63.40 69.79 63.79 74.65 71.07 69.59 74.54 62.60 73.48 62.39 73.58 73.93 74.56 69.96 63.79 73.20 63.29 55.77 73.79
620 372 8 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 65.42 64.18 63.24 64.19 64.27 73.94 74.17 64.43 64.14 63.76 74.12 73.58 73.69 73.50 63.07 71.30 64.10 72.71 74.60 73.75 64.26 63.79 72.91 64.27 64.53 63.92
621 372 8 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 72.96 64.03 64.65 64.36 64.76 74.81 74.04 63.49 65.17 63.99 74.34 74.58 74.34 73.48 63.53 72.64 63.32 70.98 74.21 73.53 62.83 62.88 73.38 64.47 72.68 64.98
622 372 8 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 65.43 64.45 69.73 65.14 64.76 74.78 74.51 63.59 71.03 71.08 72.22 74.04 72.90 70.69 63.26 88.27 64.17 74.58 74.08 75.08 63.49 65.15 73.84 64.03 72.91 64.51
623 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 64.41 64.57 87.95 63.79 70.00 75.04 74.13 87.82 63.78 64.93 87.04 73.60 73.31 73.31 62.53 73.97 70.84 73.83 74.26 87.60 70.00 63.47 72.33 63.49 63.49 64.06
640 372 8 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 73.81 64.38 63.76 64.42 64.74 74.78 73.80 63.98 65.39 64.62 74.08 74.04 70.43 73.84 64.63 73.80 62.82 86.66 74.58 75.25 63.19 63.30 63.69 63.56 64.67 63.69
641 372 8 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 74.10 65.40 64.98 64.63 65.73 62.97 71.11 64.35 70.33 65.50 74.83 71.54 73.60 73.08 63.44 71.54 70.76 72.81 74.34 74.52 63.92 64.17 73.16 64.49 64.47 73.80
642 372 8 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 69.54 64.36 86.83 64.74 65.01 75.08 74.31 63.45 65.26 65.36 74.82 74.80 73.89 70.07 63.68 74.21 64.33 73.12 74.11 75.12 64.30 64.19 85.30 64.58 70.24 65.25
643 372 8 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 65.74 64.63 64.76 64.90 65.20 63.38 73.76 64.82 64.77 65.17 73.87 74.18 73.09 70.71 63.24 73.25 65.26 73.74 73.85 73.83 64.43 64.41 69.55 64.34 73.89 65.14
660 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 64.55 86.63 63.56 64.83 63.51 74.53 73.81 64.57 70.68 63.57 74.33 75.57 71.54 70.33 62.76 73.91 73.94 71.05 74.30 74.64 73.44 70.49 69.88 63.76 63.14 74.46
661 372 8 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 68.55 65.47 64.44 64.98 64.84 74.63 74.08 70.30 70.13 64.65 74.14 74.27 70.16 73.01 64.05 71.76 63.59 89.38 73.83 71.38 73.92 63.39 72.96 63.73 64.21 64.20
662 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 68.71 65.14 69.01 64.54 65.01 75.04 74.71 64.94 64.61 65.55 73.84 74.52 70.86 73.73 64.54 74.75 74.02 73.34 74.87 74.27 63.94 63.69 73.53 73.39 73.16 73.33
663 372 8 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 64.73 65.45 88.57 64.44 64.38 74.68 74.09 63.91 63.96 64.11 74.11 75.04 71.77 63.43 63.56 71.30 74.73 73.30 72.67 73.51 74.16 70.56 72.64 63.85 64.31 64.12
680 372 8 0.01 32 0.00001 48 0.000000e+00 0.000000e+00 65.43 64.27 68.92 70.44 64.78 76.05 89.41 64.00 64.36 64.73 74.37 71.45 74.22 73.00 63.87 75.19 64.55 70.93 74.23 73.99 63.44 64.45 72.91 64.24 70.45 63.92
681 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 64.60 63.95 63.84 65.02 64.40 74.76 75.81 64.13 73.72 62.42 73.62 74.52 87.28 73.31 62.89 73.21 74.16 73.91 73.86 73.96 63.92 63.69 72.53 63.82 73.29 70.34
682 372 8 0.01 32 0.00001 48 1.000000e-08 0.000000e+00 65.40 70.76 64.30 65.01 64.42 75.07 73.95 64.41 64.46 63.95 74.37 74.04 73.12 73.50 63.84 73.39 63.77 73.23 73.79 74.77 63.26 63.53 72.80 64.02 63.44 73.41
683 372 8 0.01 32 0.00001 48 1.000000e-08 1.000000e-08 64.65 64.47 63.86 63.77 64.08 75.29 70.74 63.92 63.59 63.34 71.04 62.82 70.83 71.38 63.86 72.62 64.10 73.27 74.68 73.78 62.65 63.69 73.10 69.36 72.88 69.53


input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
0 372 8 0.10 24 0.00100 24 0.000000e+00 0.000000e+00 58.51 58.27 60.12 59.54 73.38 76.97 73.61 66.13 66.53 62.40 56.16 57.18 50.60 56.92 59.73 57.90 57.13 58.08 55.28 57.12 58.40 58.81 60.18 57.83 59.44 57.93
1 372 8 0.10 24 0.00100 24 0.000000e+00 1.000000e-08 86.43 58.63 56.91 59.42 59.33 56.41 49.17 65.10 59.32 57.86 57.38 56.76 74.95 56.93 57.36 51.12 57.73 57.44 55.41 49.98 58.39 57.44 58.85 49.17 57.06 57.23
2 372 8 0.10 24 0.00100 24 1.000000e-08 0.000000e+00 79.25 58.67 69.93 58.97 57.46 50.13 72.86 57.36 58.04 57.90 76.05 49.17 75.33 57.47 58.06 75.03 56.12 72.33 56.48 76.45 57.81 49.17 57.56 58.05 57.19 56.65
3 372 8 0.10 24 0.00100 24 1.000000e-08 1.000000e-08 57.71 58.19 57.28 57.31 57.60 50.82 49.84 58.00 75.52 57.45 55.60 57.01 74.78 56.41 55.56 57.35 49.17 57.02 56.61 55.57 61.28 57.40 56.45 56.34 57.16 56.43
20 372 8 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 80.34 59.29 59.05 58.93 59.59 56.90 74.95 58.10 84.47 59.67 57.32 85.82 76.02 57.74 57.80 76.40 57.41 75.53 50.25 56.47 59.33 58.65 51.67 57.38 57.72 57.47
21 372 8 0.10 32 0.00100 24 0.000000e+00 1.000000e-08 53.51 51.33 74.83 56.57 58.51 56.57 87.34 57.03 57.95 49.17 49.99 57.10 75.62 56.08 57.25 76.27 55.81 75.44 87.33 76.90 56.27 56.81 56.93 57.38 56.97 56.50
22 372 8 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 73.78 58.15 74.72 58.27 58.83 76.15 85.60 57.96 75.71 56.58 87.09 56.61 62.42 62.59 57.49 76.31 56.89 63.29 77.38 56.58 56.23 56.86 56.97 56.43 56.45 56.93
23 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 58.22 57.50 58.12 58.46 58.59 76.37 58.98 58.78 57.82 87.52 67.37 57.26 83.45 57.48 58.12 82.84 57.66 80.70 76.33 88.83 67.35 57.13 56.37 56.85 57.85 57.28
40 372 8 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 74.61 58.88 50.49 58.30 74.12 76.17 75.90 57.47 56.71 58.54 75.79 56.63 89.34 75.76 58.67 73.85 57.24 50.15 88.02 56.58 79.85 56.63 56.28 57.58 56.96 56.87
41 372 8 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 74.50 58.26 74.06 58.76 59.11 57.52 88.66 58.42 66.90 58.68 76.20 56.73 75.83 86.61 58.44 75.74 58.39 59.51 57.20 56.88 56.44 57.87 57.59 56.76 58.00 58.13
42 372 8 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 73.96 59.04 74.98 59.39 65.85 49.17 82.61 57.87 83.10 58.55 90.88 57.44 57.13 57.84 58.37 76.14 75.66 74.38 77.05 57.50 57.12 57.93 57.93 56.91 67.03 60.49
43 372 8 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 74.86 57.77 58.57 58.16 59.39 57.23 74.83 62.22 88.99 62.71 75.67 56.75 75.38 57.38 59.44 86.77 56.92 62.66 56.50 90.31 57.48 56.54 75.39 56.19 57.73 56.37
60 372 8 0.10 24 0.00100 36 0.000000e+00 0.000000e+00 56.47 50.36 49.93 55.71 66.40 52.04 72.97 54.42 62.30 64.00 54.58 50.25 74.66 59.91 55.53 74.93 55.52 50.10 55.12 54.16 73.54 54.53 54.34 55.70 49.17 54.38
61 372 8 0.10 24 0.00100 36 0.000000e+00 1.000000e-08 61.56 59.21 60.02 59.70 59.68 72.52 50.19 57.78 59.18 58.52 58.00 57.63 60.15 73.26 58.84 76.01 62.84 59.40 87.78 56.99 58.79 57.50 58.18 58.09 57.35 56.91
62 372 8 0.10 24 0.00100 36 1.000000e-08 0.000000e+00 74.26 56.14 58.44 62.98 66.51 75.77 73.98 55.68 55.36 53.96 75.18 55.46 74.74 55.28 56.55 54.35 65.19 49.93 54.40 49.53 49.17 56.07 55.95 55.60 55.38 55.72
63 372 8 0.10 24 0.00100 36 1.000000e-08 1.000000e-08 60.55 67.86 71.49 59.30 70.19 57.63 60.33 57.74 51.79 63.15 57.59 55.04 55.52 57.51 63.11 76.07 59.03 58.34 57.18 56.55 58.85 74.57 57.97 58.41 58.77 57.68
80 372 8 0.10 32 0.00100 36 0.000000e+00 0.000000e+00 73.59 57.75 58.14 60.73 58.40 50.27 74.86 56.36 56.87 57.61 55.03 56.76 76.73 56.56 56.23 86.75 55.87 56.93 56.54 55.44 57.01 57.55 57.64 56.48 56.41 55.72
81 372 8 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 74.66 49.17 58.87 63.78 65.69 76.58 75.02 57.24 75.55 86.19 90.08 56.41 76.71 56.50 58.79 57.11 57.06 57.93 57.54 56.21 58.24 58.07 56.70 57.18 57.47 57.22
82 372 8 0.10 32 0.00100 36 1.000000e-08 0.000000e+00 49.17 59.04 59.25 59.12 57.81 57.35 74.87 57.64 57.51 57.12 57.12 56.69 75.48 57.26 57.60 56.94 56.86 75.62 56.82 89.28 67.62 57.55 56.85 57.78 56.44 57.18
83 372 8 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 52.21 57.48 64.27 58.17 58.12 57.99 73.27 57.83 58.25 58.93 57.40 57.53 75.69 76.71 57.59 89.51 85.40 75.99 76.35 49.50 57.17 58.05 58.39 57.36 57.65 57.14
100 372 8 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 74.76 57.71 57.82 60.73 58.48 76.63 73.21 56.75 51.41 88.69 76.96 56.95 76.59 89.25 56.28 77.09 57.01 89.39 75.92 55.99 56.81 57.55 56.45 56.44 56.76 56.31
101 372 8 0.10 48 0.00100 36 0.000000e+00 1.000000e-08 57.07 58.76 58.08 58.04 58.77 76.06 55.65 57.29 57.73 86.43 57.20 56.51 75.75 58.73 57.04 49.17 56.21 58.06 56.49 49.17 57.37 55.96 56.58 67.54 56.79 56.82
102 372 8 0.10 48 0.00100 36 1.000000e-08 0.000000e+00 74.50 49.17 86.34 57.80 58.38 76.81 49.17 87.42 64.75 63.60 76.90 56.19 75.90 57.22 57.26 49.17 56.66 76.58 50.81 56.45 56.54 57.94 56.20 56.79 56.11 57.18
103 372 8 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 74.48 58.38 75.26 59.12 74.51 76.15 87.18 57.66 89.33 50.27 57.20 56.88 87.78 58.25 57.70 88.17 58.24 62.23 57.03 56.40 56.19 70.14 56.31 49.17 57.31 56.93
120 372 8 0.10 24 0.00100 48 0.000000e+00 0.000000e+00 60.18 59.78 58.54 74.09 57.49 55.92 74.69 58.20 64.14 57.05 63.91 49.17 57.48 50.71 57.99 51.01 70.18 55.60 49.17 56.12 58.80 59.42 57.92 57.65 57.56 58.09
121 372 8 0.10 24 0.00100 48 0.000000e+00 1.000000e-08 73.55 70.50 50.94 57.24 57.36 54.81 74.73 64.65 56.14 56.65 50.02 76.25 74.69 55.24 54.25 74.72 55.46 55.58 56.14 86.82 57.80 57.25 56.50 56.37 56.62 56.82
122 372 8 0.10 24 0.00100 48 1.000000e-08 0.000000e+00 72.78 57.61 49.17 66.66 57.60 73.18 73.10 55.85 57.62 56.52 54.61 56.33 51.31 57.21 49.17 66.02 55.90 55.74 54.73 75.09 57.37 56.63 56.78 56.86 56.29 56.51
123 372 8 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 73.84 49.17 58.72 59.73 58.91 86.29 74.37 74.31 59.53 57.97 75.85 57.09 75.80 56.80 57.80 53.88 57.10 51.43 57.02 55.99 69.53 58.17 58.31 57.07 57.09 57.45
140 372 8 0.10 32 0.00100 48 0.000000e+00 0.000000e+00 57.91 65.70 60.38 58.88 58.74 56.86 72.90 56.76 56.28 57.81 75.14 56.07 75.87 61.91 56.47 84.91 56.02 56.25 76.96 54.96 56.55 57.12 56.07 56.65 57.75 55.98
141 372 8 0.10 32 0.00100 48 0.000000e+00 1.000000e-08 49.17 58.90 50.46 59.87 73.76 76.82 60.01 58.69 74.79 59.82 90.82 56.82 74.73 57.98 59.37 59.11 60.36 54.95 56.96 56.63 56.74 58.57 57.16 64.16 57.69 57.55
142 372 8 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 73.99 58.26 58.24 58.66 59.29 75.77 73.20 57.42 57.61 74.62 58.13 56.66 75.84 57.39 57.61 76.21 57.28 75.61 76.59 87.01 57.69 57.67 57.22 56.83 57.60 56.83
143 372 8 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 60.53 58.35 59.34 58.34 65.12 76.21 58.53 57.83 59.34 51.32 76.53 65.28 75.19 56.67 58.08 89.32 57.71 59.01 76.60 56.64 57.59 58.16 57.37 57.36 57.26 57.49
160 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 84.75 60.23 73.98 59.25 59.58 76.24 49.17 58.77 59.34 59.28 76.26 57.50 75.34 58.27 75.15 88.18 57.69 91.72 76.00 57.29 58.15 58.11 57.28 57.39 57.76 58.50
161 372 8 0.10 48 0.00100 48 0.000000e+00 1.000000e-08 56.80 58.51 74.92 57.77 58.99 50.01 74.79 57.94 57.73 58.53 92.60 56.99 87.97 57.39 56.83 75.20 57.50 89.04 57.48 56.76 57.00 55.79 56.18 57.34 56.39 57.54
162 372 8 0.10 48 0.00100 48 1.000000e-08 0.000000e+00 84.45 58.80 59.55 49.17 59.40 75.51 75.16 59.64 55.68 49.17 57.45 57.29 74.79 57.36 58.31 88.38 58.94 78.72 76.25 56.55 56.63 56.10 56.76 57.27 56.86 56.52
163 372 8 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 74.45 75.22 57.91 69.97 56.79 76.17 51.08 57.40 88.87 49.17 76.30 57.36 76.05 57.53 57.23 88.99 57.61 56.66 76.60 57.31 56.65 57.43 56.99 56.19 56.77 56.27
180 372 8 0.10 24 0.00001 24 0.000000e+00 0.000000e+00 68.10 59.55 59.19 49.17 68.83 56.01 58.58 57.92 65.82 59.55 57.50 55.93 75.36 62.56 58.76 51.21 67.31 57.52 54.96 54.33 58.93 59.14 58.16 58.15 58.49 59.02
181 372 8 0.10 24 0.00001 24 0.000000e+00 1.000000e-08 79.30 59.23 59.90 59.93 59.95 58.51 50.96 58.27 59.08 60.12 57.07 57.43 70.48 82.26 59.34 51.18 58.55 51.25 57.13 56.36 60.95 58.51 57.64 58.32 57.56 57.06
182 372 8 0.10 24 0.00001 24 1.000000e-08 0.000000e+00 60.22 59.59 50.50 60.80 60.53 57.52 73.28 59.01 60.56 66.00 51.51 57.49 52.77 58.03 58.99 58.87 64.05 69.01 56.63 57.34 58.17 62.34 58.25 65.50 57.87 57.39
183 372 8 0.10 24 0.00001 24 1.000000e-08 1.000000e-08 72.68 56.86 74.19 58.03 58.31 57.83 73.20 56.80 74.93 57.25 50.25 56.59 75.88 55.89 55.58 75.90 50.48 74.50 55.82 55.06 57.08 56.94 56.52 57.18 57.25 55.96
200 372 8 0.10 32 0.00001 24 0.000000e+00 0.000000e+00 73.82 58.45 58.98 60.87 58.64 55.89 50.59 56.99 67.65 58.70 50.05 55.87 76.19 56.99 57.75 58.38 56.66 76.12 86.20 88.94 57.71 58.05 50.74 57.00 66.76 57.49
201 372 8 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 71.81 59.25 63.19 58.23 59.25 57.14 83.18 57.52 51.91 86.58 87.50 89.32 75.80 57.16 57.55 75.72 49.66 57.31 88.68 56.48 57.44 58.41 56.88 56.40 57.32 57.18
202 372 8 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 74.14 58.69 85.84 58.18 59.34 76.45 75.04 57.49 75.64 58.80 57.29 57.36 75.72 87.68 57.49 76.54 57.68 57.11 56.76 56.60 57.40 57.85 56.70 56.83 57.33 57.68
203 372 8 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 86.47 57.32 59.01 59.26 59.09 76.25 75.06 57.05 76.05 58.40 76.07 57.26 75.04 58.03 58.55 76.01 57.67 58.25 77.03 57.04 58.38 58.35 56.93 57.53 57.98 56.91
220 372 8 0.10 48 0.00001 24 0.000000e+00 0.000000e+00 75.15 58.30 58.60 56.84 58.34 57.12 73.06 57.55 57.00 57.09 77.54 88.77 87.02 76.87 57.11 75.99 56.72 76.03 55.87 56.18 56.39 56.21 56.61 56.74 57.62 55.46
221 372 8 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 74.86 58.38 58.51 58.35 60.32 57.58 74.77 65.30 86.29 57.82 57.58 56.79 75.15 84.31 57.43 88.58 66.37 75.57 76.51 90.76 56.47 56.13 56.57 56.81 55.77 57.47
222 372 8 0.10 48 0.00001 24 1.000000e-08 0.000000e+00 74.48 63.90 58.35 58.20 74.16 92.46 74.95 57.30 57.77 58.04 76.76 57.50 75.82 55.61 49.55 76.42 56.74 64.32 49.75 56.32 55.85 56.93 56.95 56.92 58.23 60.08
223 372 8 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 73.96 59.25 85.90 58.23 59.02 76.79 74.72 57.48 86.52 53.53 57.61 57.37 56.31 57.30 57.43 77.16 57.05 75.73 90.20 88.62 55.86 57.45 56.68 56.35 56.38 56.92
240 372 8 0.10 24 0.00001 36 0.000000e+00 0.000000e+00 58.68 57.91 58.04 70.57 72.83 51.06 72.69 57.11 73.85 58.56 49.94 56.17 75.92 50.41 56.78 64.08 57.68 58.65 56.75 55.82 57.78 58.41 57.58 57.63 57.34 57.58
241 372 8 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 60.57 58.64 59.44 57.91 59.15 57.70 74.44 57.47 74.48 58.66 57.26 56.78 75.30 57.93 58.28 75.54 56.67 67.21 76.95 56.89 75.21 58.35 57.97 57.97 57.19 57.71
242 372 8 0.10 24 0.00001 36 1.000000e-08 0.000000e+00 50.58 57.57 56.39 55.59 56.50 54.69 51.17 56.13 55.65 50.54 50.87 55.35 56.63 64.04 54.38 50.07 55.24 64.33 77.10 55.89 56.65 57.56 57.60 55.35 57.71 56.44
243 372 8 0.10 24 0.00001 36 1.000000e-08 1.000000e-08 67.16 64.21 59.10 58.79 59.01 50.25 50.50 58.52 59.59 62.59 76.25 50.64 56.90 57.05 58.85 73.60 58.02 50.66 76.26 56.98 57.78 58.15 56.94 58.30 66.27 58.15
260 372 8 0.10 32 0.00001 36 0.000000e+00 0.000000e+00 50.10 57.92 56.53 56.87 51.95 56.91 74.02 56.34 81.06 67.23 56.76 58.09 56.86 54.90 55.02 57.80 55.37 67.20 76.83 55.63 57.10 56.09 56.17 56.31 56.28 56.30
261 372 8 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 74.53 57.94 58.28 58.20 75.22 57.52 75.28 56.99 83.24 49.15 56.85 76.90 76.11 57.27 57.90 76.38 57.26 56.65 77.65 76.36 57.27 57.00 56.62 56.70 56.88 81.16
262 372 8 0.10 32 0.00001 36 1.000000e-08 0.000000e+00 74.09 58.84 49.78 58.23 58.60 76.18 50.82 57.20 58.35 57.31 74.78 56.96 73.09 56.60 56.74 50.68 65.43 67.34 91.70 56.89 57.47 65.05 57.15 56.57 57.33 57.10
263 372 8 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 74.16 58.76 50.98 58.63 73.64 50.00 86.20 58.87 62.98 80.39 57.46 57.88 66.15 61.09 58.00 76.20 85.88 75.45 58.03 56.60 58.53 57.12 57.75 57.62 56.93 58.11
280 372 8 0.10 48 0.00001 36 0.000000e+00 0.000000e+00 75.33 58.39 73.94 58.26 67.63 57.47 75.49 57.60 57.29 58.44 56.86 56.48 75.72 49.88 57.70 74.86 64.87 57.77 57.20 56.30 56.87 57.78 55.58 57.24 57.15 56.11
281 372 8 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 74.92 58.90 52.31 58.14 59.44 56.52 74.92 56.86 83.52 57.10 76.33 57.26 76.48 56.08 57.17 87.62 57.51 64.14 76.60 88.25 57.47 56.68 55.82 55.82 56.78 56.93
282 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 55.02 58.19 64.99 58.76 50.63 50.42 87.66 57.54 64.27 58.82 89.28 56.88 75.24 89.48 58.00 86.01 57.07 63.92 90.98 56.76 57.78 56.50 57.30 57.26 56.63 57.18
283 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 54.09 58.26 74.93 57.56 75.44 76.39 75.61 57.36 75.87 58.99 77.70 76.90 76.17 57.64 58.00 87.76 56.59 90.85 56.76 56.56 71.18 56.60 75.74 56.26 56.45 56.30
300 372 8 0.10 24 0.00001 48 0.000000e+00 0.000000e+00 64.42 58.51 58.32 58.96 59.11 49.17 73.20 57.66 58.15 57.59 57.35 55.64 50.65 57.07 58.21 51.10 56.82 75.32 56.59 71.95 59.54 60.96 75.20 61.57 57.86 57.63
301 372 8 0.10 24 0.00001 48 0.000000e+00 1.000000e-08 72.50 58.94 66.06 58.02 58.36 57.24 72.79 56.99 57.53 60.72 87.54 54.09 75.94 56.91 56.42 56.41 56.80 84.09 56.66 53.57 70.78 65.30 57.96 56.82 56.46 61.15
302 372 8 0.10 24 0.00001 48 1.000000e-08 0.000000e+00 50.61 64.82 57.68 56.36 57.95 85.05 73.75 64.45 74.05 50.27 56.60 54.55 57.95 55.21 57.92 60.41 57.22 57.30 54.55 55.09 58.23 57.12 56.33 56.15 56.85 58.26
303 372 8 0.10 24 0.00001 48 1.000000e-08 1.000000e-08 55.77 57.64 57.49 57.33 56.82 89.54 84.25 57.79 56.48 57.57 76.27 85.47 83.43 56.38 56.42 86.24 56.39 56.54 76.90 56.95 55.75 56.31 56.44 55.26 55.46 56.51
320 372 8 0.10 32 0.00001 48 0.000000e+00 0.000000e+00 59.74 59.50 49.97 58.84 58.02 57.26 56.02 57.32 49.17 58.51 49.17 54.91 83.24 57.34 57.25 76.64 58.58 57.76 76.35 56.62 58.29 56.02 57.06 57.13 56.92 56.93
321 372 8 0.10 32 0.00001 48 0.000000e+00 1.000000e-08 74.16 58.14 58.76 58.11 58.54 76.28 74.13 57.52 75.02 75.11 76.33 56.73 85.76 57.28 57.72 57.82 56.57 75.39 55.04 56.74 56.95 57.78 56.93 55.94 57.41 62.13
322 372 8 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 69.17 58.51 74.28 58.35 58.96 57.19 83.15 58.00 81.69 59.38 57.29 57.68 75.97 57.39 57.58 57.40 56.89 75.35 87.02 85.45 56.78 56.89 56.72 56.18 56.76 56.86
323 372 8 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 74.51 58.92 74.78 57.90 58.13 76.06 90.46 57.77 56.43 57.98 76.75 56.64 75.88 57.21 57.70 83.58 83.92 57.14 56.63 56.36 57.52 56.72 56.39 56.43 57.78 56.58
340 372 8 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 59.50 58.60 81.92 58.26 58.33 76.09 86.18 57.66 81.27 58.02 76.14 57.50 76.52 57.84 57.56 76.71 58.35 75.57 75.92 56.53 57.95 57.24 57.01 57.74 87.20 56.68
341 372 8 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 59.82 58.51 75.03 58.45 74.41 57.71 74.15 58.10 87.40 57.39 91.32 57.31 75.82 82.72 57.73 68.77 56.98 84.57 76.84 56.44 57.04 57.08 57.44 56.51 57.63 56.93
342 372 8 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 73.98 58.79 65.05 59.11 74.40 50.26 76.00 64.33 58.61 59.09 76.16 90.39 86.00 58.01 57.96 82.49 56.98 86.52 56.71 56.76 57.89 71.72 57.07 57.43 57.84 57.00
343 372 8 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 74.01 58.54 50.55 69.49 59.12 50.44 75.19 57.80 74.80 58.51 50.25 57.75 75.16 87.81 57.64 75.39 87.55 87.07 76.32 56.38 56.76 56.98 56.92 56.93 56.62 70.58
360 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 74.55 58.26 59.14 58.66 58.00 75.57 74.88 68.59 58.14 58.80 90.38 75.50 74.88 88.42 60.37 68.85 68.68 73.70 75.17 74.87 56.55 56.83 75.74 75.89 76.27 56.68
361 372 8 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 75.18 57.97 58.16 58.40 57.97 68.88 68.88 67.93 76.25 58.03 75.77 76.05 68.70 74.76 58.25 69.32 74.53 75.77 75.60 75.07 56.54 56.55 69.04 56.94 68.02 56.87
362 372 8 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 88.82 59.21 59.34 58.37 58.02 74.66 69.45 74.19 73.95 57.72 67.64 75.60 74.25 74.33 58.42 74.06 74.93 69.04 75.63 70.02 58.32 57.44 75.14 58.53 58.29 57.54
363 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 75.43 57.93 88.10 57.33 57.72 76.21 75.65 58.40 69.25 68.26 76.11 75.72 74.46 68.90 58.20 74.82 58.22 73.58 75.65 75.17 56.44 57.07 75.98 69.14 76.66 56.77
380 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 69.85 58.79 58.48 58.77 58.35 67.44 74.21 58.89 59.05 57.97 75.16 75.41 67.60 58.49 57.58 74.39 75.05 73.69 75.96 68.50 91.87 58.00 74.64 59.22 74.84 57.39
381 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 58.72 58.40 68.62 58.59 58.45 75.12 75.03 58.46 57.03 89.57 70.42 75.22 89.51 74.11 58.10 73.49 58.39 74.31 75.57 76.42 75.28 58.26 75.89 56.97 76.19 68.44
382 372 8 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 73.64 57.53 58.46 58.61 58.76 69.29 74.04 58.14 58.24 58.05 74.61 58.84 68.37 74.09 59.75 74.65 58.71 69.43 76.25 74.92 57.24 58.06 75.96 58.07 57.19 76.02
383 372 8 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 69.27 59.01 58.37 60.70 58.50 75.97 75.10 56.98 57.88 58.05 75.84 68.78 74.77 74.07 58.80 73.87 73.19 74.07 75.58 70.03 58.25 56.69 75.77 58.23 57.29 56.91
400 372 8 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 58.81 58.20 58.17 58.97 59.10 76.65 74.14 57.79 58.54 57.80 74.66 74.64 75.00 57.54 58.51 75.09 58.06 68.77 75.35 69.54 45.32 57.93 76.14 57.23 75.47 69.01
401 372 8 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 58.79 58.54 68.82 60.03 60.49 74.60 68.59 58.84 58.24 58.62 75.61 75.44 89.48 59.07 58.50 73.53 59.14 68.91 74.69 75.42 91.11 59.30 76.29 58.08 58.48 58.99
402 372 8 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 58.74 57.18 57.98 58.50 58.53 75.86 74.31 87.09 57.63 57.79 75.31 75.13 89.14 74.58 58.83 71.36 59.09 71.96 75.20 74.43 56.98 57.84 75.18 57.72 57.16 58.06
403 372 8 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 59.74 57.96 92.21 58.44 58.79 75.05 68.83 56.83 58.35 58.41 76.15 56.78 67.53 74.23 57.44 67.70 69.76 89.08 75.15 75.11 46.88 57.82 70.14 57.29 56.98 57.32
420 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 75.37 58.60 57.71 57.79 58.82 74.57 74.83 58.96 74.38 69.41 75.13 74.78 74.07 68.48 57.92 91.07 57.80 69.23 75.77 75.83 75.19 57.01 69.40 56.67 76.17 56.94
421 372 8 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 74.57 60.97 60.84 61.24 60.20 74.60 74.76 60.45 77.75 59.39 68.87 76.52 73.74 73.93 60.41 68.75 59.09 73.35 74.82 75.01 56.78 58.45 68.83 58.72 57.27 75.64
422 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 58.42 67.98 57.41 57.06 57.60 91.19 90.28 57.67 90.55 57.47 75.88 76.00 90.11 74.74 58.71 68.02 57.11 74.82 75.43 74.75 56.79 56.73 75.61 57.20 51.76 56.73
423 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 69.83 57.97 57.72 58.61 60.69 75.94 74.29 90.52 74.60 58.28 76.15 75.95 69.41 68.74 60.04 88.93 74.36 68.36 77.12 74.62 56.29 57.85 75.36 58.98 75.67 57.88
440 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 58.71 58.30 58.09 57.59 57.71 75.66 74.34 58.09 68.36 58.65 74.91 75.07 68.03 58.23 58.24 73.38 58.75 73.80 75.19 74.91 56.41 57.95 76.51 57.82 70.23 58.34
441 372 8 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 59.06 58.98 58.25 57.92 58.80 75.78 86.72 57.08 74.33 58.18 74.87 67.77 74.89 69.09 58.96 69.00 73.83 73.85 70.73 75.36 57.50 59.13 74.68 60.06 75.43 57.64
442 372 8 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 69.36 58.34 57.22 57.59 58.94 75.80 74.09 57.26 91.27 58.09 75.63 57.97 67.55 91.12 58.37 90.14 57.35 71.85 75.47 75.31 47.36 57.57 75.29 56.75 68.98 57.75
443 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 58.99 58.74 75.06 57.80 58.51 74.45 73.12 90.53 58.18 57.71 76.06 76.13 67.43 75.55 58.56 74.33 69.50 74.28 74.71 75.17 75.02 58.36 75.42 56.92 69.42 75.76
460 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 58.71 57.68 58.63 58.66 59.44 57.98 73.45 58.09 59.70 90.41 75.30 75.42 68.69 69.00 58.02 68.07 59.13 73.86 76.36 75.65 57.07 57.75 75.16 57.87 58.13 68.57
461 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 74.23 87.93 58.70 58.54 58.94 57.92 74.10 89.63 58.52 57.40 69.93 74.69 75.16 74.95 57.74 72.79 68.83 73.42 74.81 75.39 57.87 61.34 76.18 58.29 57.80 59.91
462 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 58.76 59.93 60.39 58.73 59.06 73.99 68.26 58.44 69.55 58.83 75.47 59.00 67.99 69.47 58.04 75.34 58.89 72.77 76.30 91.06 58.13 56.70 75.29 57.97 58.69 58.06
463 372 8 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 58.47 57.77 58.83 59.01 58.76 75.46 70.05 58.54 69.24 58.16 76.38 57.72 75.15 69.36 58.67 74.37 58.04 74.41 75.65 75.21 58.16 58.67 76.52 56.76 74.93 57.88
480 372 8 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 67.76 58.81 59.59 58.94 60.04 59.97 74.09 89.43 58.99 59.22 69.15 75.52 73.91 74.47 58.87 68.22 73.81 68.78 67.94 75.03 74.63 61.02 74.90 61.50 75.94 59.80
481 372 8 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 74.87 59.09 75.42 59.07 58.13 74.76 90.21 57.60 69.49 58.80 91.09 76.05 74.91 74.07 58.75 67.52 75.19 69.99 76.17 75.52 57.67 57.68 75.91 57.39 57.01 57.11
482 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 74.42 57.62 89.58 56.73 58.08 75.59 90.86 57.66 74.92 57.02 76.06 75.41 89.26 56.89 59.28 74.74 74.46 75.06 74.35 75.30 57.08 56.88 75.55 56.86 56.22 56.30
483 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 74.64 85.96 59.63 58.22 59.02 74.69 74.11 59.98 59.13 59.18 75.17 75.08 75.43 68.42 58.74 73.70 58.37 73.95 74.57 74.86 57.20 57.57 75.22 58.61 75.34 76.00
500 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 58.62 59.55 59.43 59.42 59.38 74.78 88.80 67.89 68.83 58.61 75.19 74.82 73.90 73.75 58.71 73.81 57.80 68.64 74.15 75.42 74.47 58.25 75.92 57.64 59.19 75.97
501 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 58.74 58.56 68.55 58.06 58.70 75.73 74.24 58.51 56.90 58.08 75.36 75.42 75.44 75.10 57.84 89.89 74.56 73.40 69.32 74.53 57.75 57.50 75.27 56.83 75.75 57.29
502 372 8 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 58.71 58.58 58.45 57.63 58.51 91.40 74.09 58.49 69.13 68.58 69.80 76.53 74.93 74.84 57.40 69.09 58.21 74.28 75.63 73.23 57.64 57.41 76.97 58.26 74.96 57.87
503 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.88 58.19 74.82 57.96 59.25 91.70 73.19 57.60 57.64 68.18 75.13 75.43 73.97 75.44 58.74 73.41 56.85 73.15 75.13 75.30 56.56 57.13 75.82 76.14 56.83 57.47
520 372 8 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 58.79 58.49 59.13 59.80 59.81 59.02 74.39 59.05 57.84 70.13 75.37 57.69 74.37 73.38 59.31 72.60 74.58 68.21 74.63 75.38 57.19 58.06 75.36 58.53 74.92 58.56
521 372 8 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 59.06 58.61 58.74 59.03 60.13 58.06 74.50 56.42 58.22 68.77 75.95 75.29 74.04 75.93 58.26 68.28 59.06 74.77 75.92 75.62 44.63 57.48 69.25 57.79 75.00 59.50
522 372 8 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 58.36 58.96 59.78 59.07 59.06 75.13 74.26 59.56 59.84 59.37 75.55 58.54 67.33 57.81 59.80 67.75 58.47 74.24 74.91 75.06 58.22 59.33 74.74 57.43 58.05 58.36
523 372 8 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 58.71 60.30 58.56 59.76 59.64 76.03 74.14 58.90 59.18 58.78 75.61 70.09 74.61 74.93 59.24 68.49 58.44 72.94 75.20 75.37 58.54 59.88 75.76 58.14 60.86 58.21
540 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 89.87 57.19 57.80 57.89 58.04 75.37 75.47 57.66 58.41 58.15 75.42 69.03 67.85 74.30 59.76 87.44 57.61 68.26 76.30 74.44 57.19 56.08 75.81 57.92 75.57 75.15
541 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 66.99 57.95 57.97 57.99 58.45 75.27 73.90 57.82 68.69 68.57 75.89 75.47 68.85 68.76 59.19 68.75 69.02 68.50 75.24 69.12 56.15 56.11 76.39 56.94 57.55 68.78
542 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 74.44 57.16 67.44 56.97 57.58 75.05 68.88 90.24 66.74 58.01 75.39 75.61 89.38 74.53 57.96 67.64 73.67 68.75 76.06 75.18 56.46 56.42 75.99 56.58 76.41 56.50
543 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 58.98 58.73 67.71 58.92 59.32 69.31 74.13 59.53 57.91 59.45 70.18 75.12 75.74 74.78 58.40 90.65 73.99 73.83 75.13 74.59 46.73 90.06 74.36 57.51 74.15 75.94
560 372 8 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 59.11 58.73 59.22 70.27 59.19 75.77 74.68 59.04 74.89 59.70 76.14 75.36 74.93 58.55 59.03 74.37 58.58 74.04 76.06 75.11 58.12 56.98 73.68 57.14 56.98 57.10
561 372 8 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 74.31 59.72 68.94 59.57 68.11 75.26 74.33 60.15 60.08 58.74 74.83 68.12 68.62 68.62 58.74 67.09 69.29 73.65 75.29 75.11 58.20 58.65 74.60 59.23 91.65 75.17
562 372 8 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 58.20 59.67 58.46 58.19 58.70 74.48 74.30 58.57 58.19 59.24 75.34 75.66 68.27 69.13 58.35 74.63 58.44 74.53 74.44 74.97 74.75 57.28 75.89 57.30 57.38 57.98
563 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 70.92 58.50 57.82 58.98 59.58 75.33 74.16 58.03 74.51 58.20 90.39 74.98 68.50 74.31 57.43 68.18 74.89 74.16 76.03 74.75 56.94 57.95 75.48 57.99 59.87 74.67
580 372 8 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 58.68 59.12 59.82 58.82 59.07 76.34 74.53 91.43 68.52 68.34 75.62 75.09 88.54 73.74 59.08 58.89 59.04 59.23 75.40 74.58 58.22 57.59 75.41 66.74 57.51 57.90
581 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 90.46 58.81 59.19 59.11 59.16 75.41 73.88 58.43 88.79 58.51 75.46 58.86 74.32 58.27 59.00 74.15 58.55 73.63 74.74 75.05 57.50 58.00 75.33 57.78 75.38 68.10
582 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 59.25 58.45 59.19 57.95 58.23 75.18 74.23 57.51 57.70 58.09 74.69 70.32 74.43 74.88 57.74 74.24 69.77 74.64 74.92 75.37 57.80 57.75 76.24 75.39 57.74 57.32
583 372 8 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 58.65 58.91 58.70 58.70 61.91 57.62 75.95 57.97 58.02 57.61 76.34 57.81 89.05 58.71 58.19 67.97 57.18 68.61 75.11 75.62 57.12 59.14 75.66 57.70 57.01 58.53
600 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 74.68 59.35 57.15 57.55 57.78 74.94 91.32 57.83 58.50 57.85 74.59 75.73 74.11 74.97 57.38 73.78 74.85 74.84 75.36 75.76 57.03 56.51 75.59 76.05 75.78 56.92
601 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 58.64 58.94 59.01 58.17 58.81 76.42 75.36 58.90 69.49 58.62 75.65 74.91 73.61 58.58 57.97 73.16 74.50 70.42 69.03 69.86 57.38 57.45 69.37 58.31 75.27 56.77
602 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 69.98 58.46 68.88 57.50 58.86 75.07 74.03 58.49 58.21 58.05 74.64 75.65 74.58 74.62 58.03 75.03 75.51 68.37 69.40 76.23 46.31 56.89 74.32 57.10 75.08 56.98
603 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 74.84 57.26 57.24 56.99 57.03 90.30 68.50 57.50 69.94 56.32 76.46 69.58 68.72 74.77 57.65 73.67 56.95 74.36 76.50 76.28 68.12 56.79 75.17 56.68 49.92 76.02
620 372 8 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 58.04 57.78 57.17 57.71 57.77 74.90 74.98 58.24 57.93 57.54 75.40 75.06 72.99 74.28 57.31 68.84 58.65 74.95 75.72 75.36 57.41 56.77 75.47 57.34 57.71 57.01
621 372 8 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 74.54 57.78 57.99 58.68 58.51 75.36 75.12 58.98 58.49 58.55 75.87 74.95 74.95 73.91 57.77 69.16 57.25 68.27 73.35 75.39 57.08 56.45 75.30 57.72 76.01 57.08
622 372 8 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 58.45 58.27 68.42 59.21 57.97 74.99 75.08 57.59 68.80 69.80 69.51 75.79 74.18 68.20 57.28 87.32 58.94 73.79 74.67 75.52 57.03 58.49 75.86 57.41 76.00 57.35
623 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 58.18 58.42 91.98 57.06 68.91 74.41 73.84 90.31 58.18 57.48 93.18 74.15 73.99 74.59 56.89 75.16 68.94 73.17 75.50 89.45 70.20 57.50 75.11 56.51 57.19 57.13
640 372 8 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 74.19 58.31 58.76 56.99 59.50 76.67 74.30 58.73 59.12 58.15 74.87 75.89 68.37 74.29 60.18 73.26 58.29 89.91 75.89 75.08 57.50 56.03 57.30 57.11 57.48 57.71
641 372 8 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 74.24 59.81 59.21 58.32 61.54 57.26 68.62 59.23 69.27 57.98 75.63 69.57 73.80 73.02 60.03 67.25 69.76 74.16 75.22 75.16 57.97 57.97 75.60 58.54 57.89 76.11
642 372 8 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 70.87 58.63 91.63 59.26 58.94 75.27 73.61 58.52 60.50 60.45 76.52 75.17 73.96 69.71 59.31 72.68 58.06 73.74 75.42 74.43 58.43 57.25 90.34 59.43 69.45 59.08
643 372 8 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 59.22 58.50 58.45 58.42 59.01 56.90 73.53 58.53 58.52 58.57 75.16 74.34 73.04 69.68 58.43 72.72 59.22 74.31 75.95 75.10 57.45 58.91 68.52 58.85 75.69 57.11
660 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 58.34 91.10 58.11 57.58 57.98 75.54 74.71 58.84 68.04 58.28 76.54 76.81 68.50 68.70 57.52 74.67 74.63 69.13 75.89 75.68 76.01 68.09 69.78 56.55 55.71 76.49
661 372 8 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 67.30 60.29 58.98 58.22 58.76 75.25 74.80 67.95 68.77 58.20 74.84 74.68 68.32 74.29 58.50 68.84 57.79 93.55 75.13 69.93 75.55 56.89 74.48 57.15 58.09 56.64
662 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 69.33 58.48 68.50 58.68 60.00 76.03 75.43 60.39 60.34 59.32 75.88 75.66 68.51 74.59 59.97 74.50 74.01 73.92 75.72 74.93 57.75 57.23 75.40 76.21 75.55 74.59
663 372 8 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 58.50 59.62 90.65 57.59 58.04 75.85 75.05 58.25 58.19 58.26 76.12 75.32 68.98 58.34 58.19 68.79 75.28 74.33 70.13 75.65 76.11 68.35 75.43 58.07 57.01 57.67
680 372 8 0.01 32 0.00001 48 0.000000e+00 0.000000e+00 58.96 58.47 69.01 68.47 58.85 76.65 91.16 59.07 58.27 58.77 75.42 69.50 74.17 73.71 58.87 75.50 58.52 68.37 75.84 74.58 58.24 59.34 75.72 57.88 69.17 56.98
681 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 58.34 58.75 58.66 58.34 59.27 74.05 76.66 57.89 74.93 58.17 74.68 75.15 89.19 74.33 57.37 73.39 74.89 74.53 74.69 74.50 57.50 57.19 75.61 57.34 75.92 68.37
682 372 8 0.01 32 0.00001 48 1.000000e-08 0.000000e+00 58.99 68.98 58.66 59.39 58.56 76.94 75.03 57.27 58.25 57.99 75.11 75.11 72.17 74.31 58.09 73.99 57.47 74.41 75.57 74.74 57.41 58.40 73.87 57.03 56.58 75.81
683 372 8 0.01 32 0.00001 48 1.000000e-08 1.000000e-08 57.47 58.21 57.88 57.69 58.44 75.57 68.46 58.13 57.09 57.42 69.75 57.99 68.08 69.38 57.91 68.25 57.86 74.34 74.33 75.46 56.83 57.59 75.42 68.10 75.13 68.27
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues = []
pvalues_real = []

for _,index in enumerate(dt_valid_sub.index):
  _, p_value = stats.ttest_ind(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')
  pvalues_real.append(p_value)
  pvalues.append((p_value >= 0.05)*1)

  

dt_valid_sub['pvalues'] = pvalues_real
dt_valid_sub['sig'] = pvalues


dt_valid_sub1 = dt_valid_sub.query('sig == 1')


max_indexx = dt_valid_sub1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
540 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 85.13 64.00 63.99 63.71 64.38 74.63 74.16 64.03 64.67 64.79 74.63 71.30 70.62 73.53 64.76 87.40 63.62 70.39 73.97 74.26 63.99 62.60 72.91 63.80 73.67 73.93
541 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 70.05 64.20 63.75 64.39 63.80 74.88 73.66 64.49 70.66 70.21 74.11 74.49 72.12 70.79 63.93 71.72 70.07 71.20 74.34 71.38 62.54 62.54 73.45 63.82 63.56 70.27
542 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 73.31 63.94 69.19 63.68 63.63 74.36 69.94 88.04 70.62 64.18 74.23 74.27 89.55 73.49 63.37 69.16 74.07 70.25 74.12 74.04 61.95 63.14 72.78 63.70 74.12 63.59
543 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 65.71 65.03 69.50 65.06 65.01 70.62 74.27 64.30 63.79 64.59 71.68 73.05 74.19 74.00 64.32 88.39 74.62 72.73 74.75 74.23 55.47 86.52 73.05 64.60 72.92 73.53
600 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 73.81 64.59 63.58 63.02 63.67 74.78 87.54 63.55 64.56 63.67 74.02 73.77 73.87 74.17 62.36 74.89 74.09 73.96 74.82 74.79 63.47 63.13 73.16 73.56 73.17 64.01
601 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 64.47 64.90 64.33 64.64 64.15 75.69 74.08 64.85 70.99 65.37 74.36 73.58 73.97 62.87 62.78 74.10 74.34 72.48 70.72 72.59 63.57 64.58 70.20 65.73 73.55 64.32
602 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 69.13 64.24 69.94 63.94 65.04 74.77 73.64 64.14 64.22 65.68 74.33 74.24 73.88 74.10 63.69 73.12 73.34 72.02 70.89 75.33 54.78 63.84 72.22 64.42 73.83 64.19
603 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 74.02 63.04 63.20 63.58 63.35 87.92 70.76 63.40 69.79 63.79 74.65 71.07 69.59 74.54 62.60 73.48 62.39 73.58 73.93 74.56 69.96 63.79 73.20 63.29 55.77 73.79
660 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 64.55 86.63 63.56 64.83 63.51 74.53 73.81 64.57 70.68 63.57 74.33 75.57 71.54 70.33 62.76 73.91 73.94 71.05 74.30 74.64 73.44 70.49 69.88 63.76 63.14 74.46
661 372 8 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 68.55 65.47 64.44 64.98 64.84 74.63 74.08 70.30 70.13 64.65 74.14 74.27 70.16 73.01 64.05 71.76 63.59 89.38 73.83 71.38 73.92 63.39 72.96 63.73 64.21 64.20
662 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 68.71 65.14 69.01 64.54 65.01 75.04 74.71 64.94 64.61 65.55 73.84 74.52 70.86 73.73 64.54 74.75 74.02 73.34 74.87 74.27 63.94 63.69 73.53 73.39 73.16 73.33
663 372 8 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 64.73 65.45 88.57 64.44 64.38 74.68 74.09 63.91 63.96 64.11 74.11 75.04 71.77 63.43 63.56 71.30 74.73 73.30 72.67 73.51 74.16 70.56 72.64 63.85 64.31 64.12
360 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 73.97 64.68 64.23 64.70 64.76 74.21 74.87 70.89 63.62 64.99 88.53 73.75 73.84 87.43 64.79 71.17 70.69 74.09 74.46 74.56 63.51 63.84 73.58 74.05 73.85 64.40
361 372 8 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 74.31 65.29 63.83 64.67 64.59 70.45 69.73 69.92 75.31 64.62 74.59 74.70 71.48 73.37 63.74 70.89 74.14 74.91 74.86 73.99 62.84 63.62 69.80 64.16 69.98 63.89
362 372 8 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 85.38 64.97 65.16 65.09 64.53 74.68 70.96 73.60 72.91 64.85 71.53 75.75 73.67 73.55 63.97 74.20 74.37 70.66 74.02 71.02 64.79 64.27 73.14 65.56 64.30 64.76
363 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 74.06 63.79 84.54 63.53 63.79 76.13 74.85 63.90 70.70 70.18 74.09 73.99 74.59 70.47 63.24 73.49 63.42 73.73 74.36 73.78 64.01 62.74 73.67 70.64 73.16 63.82
420 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 74.29 64.49 63.68 63.94 64.42 74.90 73.54 64.23 73.31 70.90 74.33 74.66 73.71 70.74 63.09 89.19 63.53 70.83 74.83 74.46 73.65 62.94 70.46 64.83 74.41 64.41
421 372 8 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 73.67 65.33 64.65 66.86 65.02 74.23 73.83 65.20 81.28 66.34 70.66 74.74 73.03 73.38 63.89 71.96 63.69 72.81 74.83 74.24 63.19 64.99 70.44 65.51 63.65 73.14
422 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 64.24 70.05 63.46 63.05 64.11 87.05 87.23 63.37 87.50 64.14 74.09 74.39 86.28 73.29 63.14 71.00 63.47 73.52 74.47 74.50 63.40 63.80 73.46 63.67 55.40 63.55
423 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 68.86 63.55 64.50 64.11 65.93 75.13 73.69 88.31 73.50 64.57 73.89 74.27 71.74 71.52 64.54 89.73 73.58 70.85 75.05 73.99 63.39 64.14 72.99 64.85 72.64 65.11
480 372 8 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 68.44 65.46 64.78 65.58 64.90 65.23 73.80 87.94 65.87 66.12 72.11 74.66 73.66 74.04 63.93 71.65 74.12 71.61 70.74 74.08 72.09 66.20 72.87 66.15 73.35 65.21
481 372 8 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 73.58 64.63 73.93 65.42 64.79 75.15 88.09 64.24 71.06 65.76 88.86 74.82 73.70 73.97 64.12 71.52 74.28 71.25 74.78 75.57 63.83 64.23 72.41 65.00 63.81 64.81
482 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 73.34 63.74 86.13 63.57 64.17 74.90 87.36 64.24 73.33 63.82 74.59 75.03 87.61 62.44 63.77 73.92 73.82 73.50 73.40 73.29 63.71 63.91 73.12 64.31 64.28 64.42
483 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 74.81 87.43 64.82 64.53 64.84 75.52 73.66 65.52 64.83 65.65 74.37 73.78 73.60 69.60 64.28 73.12 63.84 72.87 74.14 73.74 63.96 64.54 73.59 64.12 73.14 74.13
561 372 8 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 73.80 65.29 69.04 65.79 69.83 74.52 74.12 65.24 65.26 65.33 73.86 71.06 70.18 69.85 63.28 70.86 70.95 72.94 74.82 73.70 63.79 65.74 72.40 63.93 89.04 73.16
562 372 8 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 64.83 65.22 64.04 64.81 64.76 74.84 74.10 63.72 64.53 65.49 74.61 74.50 71.73 71.08 63.63 72.82 63.70 73.88 73.81 74.02 72.22 64.15 74.13 64.47 64.53 64.20
563 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 69.85 65.42 64.40 65.37 65.08 74.65 73.90 63.51 73.91 64.10 89.14 74.63 71.70 73.30 63.12 72.11 74.39 73.27 75.29 73.85 62.57 64.41 73.12 64.11 64.52 73.86
621 372 8 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 72.96 64.03 64.65 64.36 64.76 74.81 74.04 63.49 65.17 63.99 74.34 74.58 74.34 73.48 63.53 72.64 63.32 70.98 74.21 73.53 62.83 62.88 73.38 64.47 72.68 64.98
622 372 8 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 65.43 64.45 69.73 65.14 64.76 74.78 74.51 63.59 71.03 71.08 72.22 74.04 72.90 70.69 63.26 88.27 64.17 74.58 74.08 75.08 63.49 65.15 73.84 64.03 72.91 64.51
623 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 64.41 64.57 87.95 63.79 70.00 75.04 74.13 87.82 63.78 64.93 87.04 73.60 73.31 73.31 62.53 73.97 70.84 73.83 74.26 87.60 70.00 63.47 72.33 63.49 63.49 64.06
680 372 8 0.01 32 0.00001 48 0.000000e+00 0.000000e+00 65.43 64.27 68.92 70.44 64.78 76.05 89.41 64.00 64.36 64.73 74.37 71.45 74.22 73.00 63.87 75.19 64.55 70.93 74.23 73.99 63.44 64.45 72.91 64.24 70.45 63.92
681 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 64.60 63.95 63.84 65.02 64.40 74.76 75.81 64.13 73.72 62.42 73.62 74.52 87.28 73.31 62.89 73.21 74.16 73.91 73.86 73.96 63.92 63.69 72.53 63.82 73.29 70.34
682 372 8 0.01 32 0.00001 48 1.000000e-08 0.000000e+00 65.40 70.76 64.30 65.01 64.42 75.07 73.95 64.41 64.46 63.95 74.37 74.04 73.12 73.50 63.84 73.39 63.77 73.23 73.79 74.77 63.26 63.53 72.80 64.02 63.44 73.41
380 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 69.29 65.25 63.88 64.92 64.49 71.30 73.21 63.57 65.67 65.16 74.37 74.98 71.55 63.29 63.19 73.84 74.60 72.87 75.01 71.67 88.41 64.19 72.91 64.98 72.76 65.72
381 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 65.50 64.28 69.96 64.78 64.53 74.79 74.85 63.88 63.47 87.84 70.76 74.00 88.83 72.87 62.65 72.60 63.89 73.37 74.83 74.75 73.89 64.77 73.55 64.30 73.68 70.12
440 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 66.08 64.94 64.30 63.99 64.27 75.10 74.67 63.96 70.08 64.62 74.61 74.77 70.54 63.59 63.46 74.12 64.22 73.04 74.39 74.83 63.60 64.26 73.91 64.70 72.08 64.51
441 372 8 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 64.77 64.39 63.99 64.88 64.45 74.44 86.04 62.75 74.67 65.04 73.60 71.50 74.10 71.64 63.37 70.55 74.47 72.88 72.21 74.53 63.94 65.94 72.68 65.22 72.89 64.72
442 372 8 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 68.72 63.97 63.63 64.57 64.54 75.10 74.06 63.98 87.03 64.40 73.86 64.08 71.38 87.14 63.51 87.37 63.49 73.11 74.59 74.00 55.34 64.74 72.39 63.77 71.22 64.90
443 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 64.42 64.92 74.57 64.54 64.51 74.45 73.54 88.51 64.65 63.62 74.25 74.51 71.08 72.83 63.53 73.46 71.51 72.75 74.14 74.25 72.68 64.39 73.36 64.45 72.13 73.35
500 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 65.50 66.00 64.16 64.85 64.83 75.15 86.50 70.05 70.63 64.57 74.86 73.90 73.42 73.27 63.21 73.71 63.83 71.20 74.12 74.27 73.55 64.16 72.65 65.23 64.64 73.66
501 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 64.49 63.97 69.56 65.15 64.53 74.37 74.48 64.07 64.01 63.72 74.14 73.89 73.85 73.32 63.99 87.60 74.44 73.61 71.40 73.73 63.82 63.44 73.16 63.21 73.88 65.51
502 372 8 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 65.20 64.75 63.99 64.68 64.78 89.57 73.85 64.37 70.91 69.81 70.10 75.06 73.59 73.56 63.47 71.32 64.33 72.83 73.68 73.96 63.28 63.94 74.91 64.55 72.70 65.54
503 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.04 64.79 73.96 64.17 64.48 89.02 73.79 63.46 64.53 70.91 74.33 74.45 73.92 73.22 63.04 72.61 62.52 72.12 74.09 74.28 63.62 63.51 72.21 73.86 63.51 64.26
580 372 8 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 65.44 65.18 65.51 65.06 64.62 75.40 74.19 88.93 70.21 70.01 74.12 74.10 87.71 73.13 63.60 65.27 63.63 64.67 73.60 74.78 64.70 63.99 72.64 69.07 64.22 64.47
581 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 85.64 64.95 64.26 64.86 64.94 74.91 74.37 63.97 87.48 65.19 74.84 63.99 73.12 63.85 63.50 73.87 63.07 72.70 74.59 74.39 63.92 63.92 73.16 64.98 73.43 69.79
582 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 66.24 64.38 64.29 64.56 64.21 74.41 73.47 63.74 64.85 64.45 74.12 71.07 73.40 73.02 63.74 73.41 71.28 72.84 73.79 73.79 64.56 63.92 72.40 73.91 64.01 64.63
640 372 8 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 73.81 64.38 63.76 64.42 64.74 74.78 73.80 63.98 65.39 64.62 74.08 74.04 70.43 73.84 64.63 73.80 62.82 86.66 74.58 75.25 63.19 63.30 63.69 63.56 64.67 63.69
641 372 8 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 74.10 65.40 64.98 64.63 65.73 62.97 71.11 64.35 70.33 65.50 74.83 71.54 73.60 73.08 63.44 71.54 70.76 72.81 74.34 74.52 63.92 64.17 73.16 64.49 64.47 73.80
642 372 8 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 69.54 64.36 86.83 64.74 65.01 75.08 74.31 63.45 65.26 65.36 74.82 74.80 73.89 70.07 63.68 74.21 64.33 73.12 74.11 75.12 64.30 64.19 85.30 64.58 70.24 65.25
401 372 8 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 66.49 64.73 69.87 65.51 65.25 73.87 70.58 64.68 65.07 65.52 74.50 74.52 87.15 63.91 63.75 73.41 65.20 69.72 73.60 74.84 87.32 64.44 72.39 64.78 64.19 64.42
402 372 8 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 65.73 64.72 64.20 65.36 64.78 74.53 74.09 86.71 64.30 63.66 74.03 75.24 87.91 72.89 64.27 73.44 64.07 72.81 73.64 74.28 63.69 62.54 72.18 63.42 64.03 64.45
403 372 8 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 66.37 64.51 86.93 64.75 64.51 74.63 70.60 63.57 64.08 64.96 74.36 63.57 70.03 73.00 63.44 70.64 70.62 86.42 74.08 74.25 54.67 65.00 69.50 64.06 64.93 63.89
460 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 65.18 64.12 64.63 65.48 65.51 63.17 74.60 64.31 65.87 86.36 74.33 74.52 69.52 70.74 63.48 71.01 64.58 73.13 75.34 74.03 63.17 64.19 72.63 64.73 63.53 69.56
461 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 73.95 86.61 64.03 64.52 64.74 63.77 73.87 87.04 64.86 63.73 70.29 74.62 72.67 73.16 63.38 73.20 70.13 73.32 74.13 74.10 63.76 64.36 73.15 64.37 64.74 64.81
462 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 66.19 65.48 64.79 64.81 64.79 74.70 71.00 63.57 69.65 66.09 74.60 64.24 71.89 71.75 62.68 73.31 62.91 72.52 74.42 88.03 64.26 63.79 72.92 65.16 63.69 63.94
201 372 8 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 69.52 66.36 66.46 64.88 65.22 62.62 79.58 65.55 56.25 80.60 84.88 84.34 74.47 63.28 63.79 74.52 55.73 65.01 85.44 64.35 64.35 66.59 64.11 65.44 64.41 65.62
23 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 59.96 64.06 64.86 65.40 65.06 74.20 65.07 64.79 64.14 80.98 71.95 63.58 81.00 64.63 63.31 78.69 64.08 78.65 74.48 84.80 69.89 64.79 63.85 64.97 65.74 64.67
221 372 8 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 72.97 64.23 65.09 64.81 66.15 62.89 74.65 72.54 82.72 64.32 62.41 62.57 73.67 81.03 63.79 85.69 70.05 73.66 74.89 86.33 63.85 64.01 64.36 64.13 64.15 64.37
223 372 8 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 72.81 65.30 81.72 64.96 64.24 75.01 74.05 64.42 84.06 55.36 63.19 62.71 59.10 64.25 63.77 75.91 63.31 74.02 84.41 84.13 63.19 64.87 63.76 63.74 64.75 63.76
281 372 8 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 73.61 64.67 57.92 64.35 64.56 64.79 75.17 63.76 79.32 64.01 74.85 63.57 75.73 63.18 65.27 84.50 63.46 70.24 75.14 85.53 64.33 64.75 63.82 63.01 64.51 64.28
282 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 58.35 66.16 69.63 64.57 55.82 56.89 83.90 65.05 67.35 64.43 86.52 63.95 73.61 85.72 63.66 81.72 63.89 68.97 85.31 64.31 65.67 64.63 64.96 64.82 64.42 64.74
283 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 59.80 65.12 73.88 62.96 74.60 75.74 74.76 64.17 74.39 67.10 75.60 75.13 74.47 62.56 62.79 85.05 63.07 87.47 63.32 63.55 72.87 63.79 71.31 63.90 63.19 64.44
340 372 8 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 65.63 64.61 78.33 65.19 65.93 75.38 82.88 64.18 78.64 64.99 75.14 63.57 74.15 64.34 64.49 74.47 63.54 74.11 75.13 63.51 63.79 63.10 64.17 65.73 82.97 64.04
341 372 8 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 65.39 64.57 73.73 64.83 74.60 62.86 74.66 63.24 86.25 63.59 86.68 63.32 74.85 80.49 62.86 70.47 63.81 80.64 74.89 63.64 63.66 64.74 64.09 64.07 64.46 64.26
342 372 8 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 73.31 65.83 65.87 65.08 74.58 56.36 74.32 68.71 64.90 65.28 75.05 87.08 81.90 63.71 64.39 78.59 62.83 82.54 63.11 63.82 64.26 73.56 64.56 64.98 64.25 65.36
343 372 8 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 72.91 64.51 56.87 72.83 66.47 56.23 74.67 64.51 75.22 64.57 55.78 64.07 74.93 85.09 64.00 75.21 84.17 81.31 75.12 63.54 63.40 64.46 64.45 64.51 64.38 71.81
42 372 8 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 73.26 65.23 73.12 65.47 71.13 42.66 79.20 64.25 79.82 64.66 86.45 63.49 59.97 63.32 66.51 74.91 74.37 74.07 75.70 63.84 63.89 65.63 64.12 64.26 69.25 68.16
43 372 8 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 73.42 64.68 64.57 64.47 64.70 62.64 72.93 69.56 84.40 68.78 74.94 63.46 74.92 63.21 64.74 82.69 63.77 65.70 63.95 86.56 64.59 63.32 72.90 64.28 64.12 65.09
100 372 8 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 73.61 64.79 63.09 68.94 64.15 76.06 71.84 63.72 55.73 84.20 74.91 63.33 74.65 86.25 62.53 74.92 63.35 86.17 75.38 62.66 64.80 64.87 64.26 64.06 63.25 64.63
103 372 8 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 73.40 64.68 74.20 65.14 74.51 75.20 82.68 64.02 84.90 55.84 63.39 63.21 83.78 64.07 64.25 83.78 63.79 68.14 63.61 63.21 63.21 72.64 64.19 42.66 64.64 64.74
160 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 82.94 66.75 73.19 65.21 65.26 74.90 42.66 65.03 64.94 66.11 74.64 64.07 74.71 64.28 74.03 85.65 63.75 86.35 74.94 64.06 64.31 65.91 65.71 65.33 65.40 66.10
Size of the All data:  (140, 29)
Size of the Sig data:  (71, 29)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params1 = dt_valid.loc[dt_valid_sub1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params = optimal_params1.reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
24 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 89.87 57.19 57.80 57.89 58.04 75.37 75.47 57.66 58.41 58.15 75.42 69.03 67.85 74.30 59.76 87.44 57.61 68.26 76.30 74.44 57.19 56.08 75.81 57.92 75.57 75.15
50 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 66.99 57.95 57.97 57.99 58.45 75.27 73.90 57.82 68.69 68.57 75.89 75.47 68.85 68.76 59.19 68.75 69.02 68.50 75.24 69.12 56.15 56.11 76.39 56.94 57.55 68.78
7 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 74.44 57.16 67.44 56.97 57.58 75.05 68.88 90.24 66.74 58.01 75.39 75.61 89.38 74.53 57.96 67.64 73.67 68.75 76.06 75.18 56.46 56.42 75.99 56.58 76.41 56.50
8 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 58.98 58.73 67.71 58.92 59.32 69.31 74.13 59.53 57.91 59.45 70.18 75.12 75.74 74.78 58.40 90.65 73.99 73.83 75.13 74.59 46.73 90.06 74.36 57.51 74.15 75.94
18 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 74.68 59.35 57.15 57.55 57.78 74.94 91.32 57.83 58.50 57.85 74.59 75.73 74.11 74.97 57.38 73.78 74.85 74.84 75.36 75.76 57.03 56.51 75.59 76.05 75.78 56.92
58 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 58.64 58.94 59.01 58.17 58.81 76.42 75.36 58.90 69.49 58.62 75.65 74.91 73.61 58.58 57.97 73.16 74.50 70.42 69.03 69.86 57.38 57.45 69.37 58.31 75.27 56.77
49 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 69.98 58.46 68.88 57.50 58.86 75.07 74.03 58.49 58.21 58.05 74.64 75.65 74.58 74.62 58.03 75.03 75.51 68.37 69.40 76.23 46.31 56.89 74.32 57.10 75.08 56.98
48 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 74.84 57.26 57.24 56.99 57.03 90.30 68.50 57.50 69.94 56.32 76.46 69.58 68.72 74.77 57.65 73.67 56.95 74.36 76.50 76.28 68.12 56.79 75.17 56.68 49.92 76.02
11 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 58.34 91.10 58.11 57.58 57.98 75.54 74.71 58.84 68.04 58.28 76.54 76.81 68.50 68.70 57.52 74.67 74.63 69.13 75.89 75.68 76.01 68.09 69.78 56.55 55.71 76.49
35 372 8 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 67.30 60.29 58.98 58.22 58.76 75.25 74.80 67.95 68.77 58.20 74.84 74.68 68.32 74.29 58.50 68.84 57.79 93.55 75.13 69.93 75.55 56.89 74.48 57.15 58.09 56.64
14 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 69.33 58.48 68.50 58.68 60.00 76.03 75.43 60.39 60.34 59.32 75.88 75.66 68.51 74.59 59.97 74.50 74.01 73.92 75.72 74.93 57.75 57.23 75.40 76.21 75.55 74.59
30 372 8 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 58.50 59.62 90.65 57.59 58.04 75.85 75.05 58.25 58.19 58.26 76.12 75.32 68.98 58.34 58.19 68.79 75.28 74.33 70.13 75.65 76.11 68.35 75.43 58.07 57.01 57.67
1 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 74.55 58.26 59.14 58.66 58.00 75.57 74.88 68.59 58.14 58.80 90.38 75.50 74.88 88.42 60.37 68.85 68.68 73.70 75.17 74.87 56.55 56.83 75.74 75.89 76.27 56.68
42 372 8 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 75.18 57.97 58.16 58.40 57.97 68.88 68.88 67.93 76.25 58.03 75.77 76.05 68.70 74.76 58.25 69.32 74.53 75.77 75.60 75.07 56.54 56.55 69.04 56.94 68.02 56.87
21 372 8 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 88.82 59.21 59.34 58.37 58.02 74.66 69.45 74.19 73.95 57.72 67.64 75.60 74.25 74.33 58.42 74.06 74.93 69.04 75.63 70.02 58.32 57.44 75.14 58.53 58.29 57.54
9 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 75.43 57.93 88.10 57.33 57.72 76.21 75.65 58.40 69.25 68.26 76.11 75.72 74.46 68.90 58.20 74.82 58.22 73.58 75.65 75.17 56.44 57.07 75.98 69.14 76.66 56.77
13 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 75.37 58.60 57.71 57.79 58.82 74.57 74.83 58.96 74.38 69.41 75.13 74.78 74.07 68.48 57.92 91.07 57.80 69.23 75.77 75.83 75.19 57.01 69.40 56.67 76.17 56.94
34 372 8 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 74.57 60.97 60.84 61.24 60.20 74.60 74.76 60.45 77.75 59.39 68.87 76.52 73.74 73.93 60.41 68.75 59.09 73.35 74.82 75.01 56.78 58.45 68.83 58.72 57.27 75.64
16 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 58.42 67.98 57.41 57.06 57.60 91.19 90.28 57.67 90.55 57.47 75.88 76.00 90.11 74.74 58.71 68.02 57.11 74.82 75.43 74.75 56.79 56.73 75.61 57.20 51.76 56.73
2 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 69.83 57.97 57.72 58.61 60.69 75.94 74.29 90.52 74.60 58.28 76.15 75.95 69.41 68.74 60.04 88.93 74.36 68.36 77.12 74.62 56.29 57.85 75.36 58.98 75.67 57.88
17 372 8 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 67.76 58.81 59.59 58.94 60.04 59.97 74.09 89.43 58.99 59.22 69.15 75.52 73.91 74.47 58.87 68.22 73.81 68.78 67.94 75.03 74.63 61.02 74.90 61.50 75.94 59.80
3 372 8 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 74.87 59.09 75.42 59.07 58.13 74.76 90.21 57.60 69.49 58.80 91.09 76.05 74.91 74.07 58.75 67.52 75.19 69.99 76.17 75.52 57.67 57.68 75.91 57.39 57.01 57.11
6 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 74.42 57.62 89.58 56.73 58.08 75.59 90.86 57.66 74.92 57.02 76.06 75.41 89.26 56.89 59.28 74.74 74.46 75.06 74.35 75.30 57.08 56.88 75.55 56.86 56.22 56.30
10 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 74.64 85.96 59.63 58.22 59.02 74.69 74.11 59.98 59.13 59.18 75.17 75.08 75.43 68.42 58.74 73.70 58.37 73.95 74.57 74.86 57.20 57.57 75.22 58.61 75.34 76.00
12 372 8 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 74.31 59.72 68.94 59.57 68.11 75.26 74.33 60.15 60.08 58.74 74.83 68.12 68.62 68.62 58.74 67.09 69.29 73.65 75.29 75.11 58.20 58.65 74.60 59.23 91.65 75.17
62 372 8 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 58.20 59.67 58.46 58.19 58.70 74.48 74.30 58.57 58.19 59.24 75.34 75.66 68.27 69.13 58.35 74.63 58.44 74.53 74.44 74.97 74.75 57.28 75.89 57.30 57.38 57.98
19 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 70.92 58.50 57.82 58.98 59.58 75.33 74.16 58.03 74.51 58.20 90.39 74.98 68.50 74.31 57.43 68.18 74.89 74.16 76.03 74.75 56.94 57.95 75.48 57.99 59.87 74.67
53 372 8 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 74.54 57.78 57.99 58.68 58.51 75.36 75.12 58.98 58.49 58.55 75.87 74.95 74.95 73.91 57.77 69.16 57.25 68.27 73.35 75.39 57.08 56.45 75.30 57.72 76.01 57.08
27 372 8 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 58.45 58.27 68.42 59.21 57.97 74.99 75.08 57.59 68.80 69.80 69.51 75.79 74.18 68.20 57.28 87.32 58.94 73.79 74.67 75.52 57.03 58.49 75.86 57.41 76.00 57.35
0 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 58.18 58.42 91.98 57.06 68.91 74.41 73.84 90.31 58.18 57.48 93.18 74.15 73.99 74.59 56.89 75.16 68.94 73.17 75.50 89.45 70.20 57.50 75.11 56.51 57.19 57.13
40 372 8 0.01 32 0.00001 48 0.000000e+00 0.000000e+00 58.96 58.47 69.01 68.47 58.85 76.65 91.16 59.07 58.27 58.77 75.42 69.50 74.17 73.71 58.87 75.50 58.52 68.37 75.84 74.58 58.24 59.34 75.72 57.88 69.17 56.98
23 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 58.34 58.75 58.66 58.34 59.27 74.05 76.66 57.89 74.93 58.17 74.68 75.15 89.19 74.33 57.37 73.39 74.89 74.53 74.69 74.50 57.50 57.19 75.61 57.34 75.92 68.37
51 372 8 0.01 32 0.00001 48 1.000000e-08 0.000000e+00 58.99 68.98 58.66 59.39 58.56 76.94 75.03 57.27 58.25 57.99 75.11 75.11 72.17 74.31 58.09 73.99 57.47 74.41 75.57 74.74 57.41 58.40 73.87 57.03 56.58 75.81
32 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 69.85 58.79 58.48 58.77 58.35 67.44 74.21 58.89 59.05 57.97 75.16 75.41 67.60 58.49 57.58 74.39 75.05 73.69 75.96 68.50 91.87 58.00 74.64 59.22 74.84 57.39
4 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 58.72 58.40 68.62 58.59 58.45 75.12 75.03 58.46 57.03 89.57 70.42 75.22 89.51 74.11 58.10 73.49 58.39 74.31 75.57 76.42 75.28 58.26 75.89 56.97 76.19 68.44
64 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 58.71 58.30 58.09 57.59 57.71 75.66 74.34 58.09 68.36 58.65 74.91 75.07 68.03 58.23 58.24 73.38 58.75 73.80 75.19 74.91 56.41 57.95 76.51 57.82 70.23 58.34
37 372 8 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 59.06 58.98 58.25 57.92 58.80 75.78 86.72 57.08 74.33 58.18 74.87 67.77 74.89 69.09 58.96 69.00 73.83 73.85 70.73 75.36 57.50 59.13 74.68 60.06 75.43 57.64
29 372 8 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 69.36 58.34 57.22 57.59 58.94 75.80 74.09 57.26 91.27 58.09 75.63 57.97 67.55 91.12 58.37 90.14 57.35 71.85 75.47 75.31 47.36 57.57 75.29 56.75 68.98 57.75
5 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 58.99 58.74 75.06 57.80 58.51 74.45 73.12 90.53 58.18 57.71 76.06 76.13 67.43 75.55 58.56 74.33 69.50 74.28 74.71 75.17 75.02 58.36 75.42 56.92 69.42 75.76
20 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 58.62 59.55 59.43 59.42 59.38 74.78 88.80 67.89 68.83 58.61 75.19 74.82 73.90 73.75 58.71 73.81 57.80 68.64 74.15 75.42 74.47 58.25 75.92 57.64 59.19 75.97
31 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 58.74 58.56 68.55 58.06 58.70 75.73 74.24 58.51 56.90 58.08 75.36 75.42 75.44 75.10 57.84 89.89 74.56 73.40 69.32 74.53 57.75 57.50 75.27 56.83 75.75 57.29
39 372 8 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 58.71 58.58 58.45 57.63 58.51 91.40 74.09 58.49 69.13 68.58 69.80 76.53 74.93 74.84 57.40 69.09 58.21 74.28 75.63 73.23 57.64 57.41 76.97 58.26 74.96 57.87
25 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.88 58.19 74.82 57.96 59.25 91.70 73.19 57.60 57.64 68.18 75.13 75.43 73.97 75.44 58.74 73.41 56.85 73.15 75.13 75.30 56.56 57.13 75.82 76.14 56.83 57.47
26 372 8 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 58.68 59.12 59.82 58.82 59.07 76.34 74.53 91.43 68.52 68.34 75.62 75.09 88.54 73.74 59.08 58.89 59.04 59.23 75.40 74.58 58.22 57.59 75.41 66.74 57.51 57.90
28 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 90.46 58.81 59.19 59.11 59.16 75.41 73.88 58.43 88.79 58.51 75.46 58.86 74.32 58.27 59.00 74.15 58.55 73.63 74.74 75.05 57.50 58.00 75.33 57.78 75.38 68.10
52 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 59.25 58.45 59.19 57.95 58.23 75.18 74.23 57.51 57.70 58.09 74.69 70.32 74.43 74.88 57.74 74.24 69.77 74.64 74.92 75.37 57.80 57.75 76.24 75.39 57.74 57.32
60 372 8 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 74.19 58.31 58.76 56.99 59.50 76.67 74.30 58.73 59.12 58.15 74.87 75.89 68.37 74.29 60.18 73.26 58.29 89.91 75.89 75.08 57.50 56.03 57.30 57.11 57.48 57.71
47 372 8 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 74.24 59.81 59.21 58.32 61.54 57.26 68.62 59.23 69.27 57.98 75.63 69.57 73.80 73.02 60.03 67.25 69.76 74.16 75.22 75.16 57.97 57.97 75.60 58.54 57.89 76.11
15 372 8 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 70.87 58.63 91.63 59.26 58.94 75.27 73.61 58.52 60.50 60.45 76.52 75.17 73.96 69.71 59.31 72.68 58.06 73.74 75.42 74.43 58.43 57.25 90.34 59.43 69.45 59.08
36 372 8 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 58.79 58.54 68.82 60.03 60.49 74.60 68.59 58.84 58.24 58.62 75.61 75.44 89.48 59.07 58.50 73.53 59.14 68.91 74.69 75.42 91.11 59.30 76.29 58.08 58.48 58.99
33 372 8 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 58.74 57.18 57.98 58.50 58.53 75.86 74.31 87.09 57.63 57.79 75.31 75.13 89.14 74.58 58.83 71.36 59.09 71.96 75.20 74.43 56.98 57.84 75.18 57.72 57.16 58.06
57 372 8 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 59.74 57.96 92.21 58.44 58.79 75.05 68.83 56.83 58.35 58.41 76.15 56.78 67.53 74.23 57.44 67.70 69.76 89.08 75.15 75.11 46.88 57.82 70.14 57.29 56.98 57.32
55 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 58.71 57.68 58.63 58.66 59.44 57.98 73.45 58.09 59.70 90.41 75.30 75.42 68.69 69.00 58.02 68.07 59.13 73.86 76.36 75.65 57.07 57.75 75.16 57.87 58.13 68.57
22 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 74.23 87.93 58.70 58.54 58.94 57.92 74.10 89.63 58.52 57.40 69.93 74.69 75.16 74.95 57.74 72.79 68.83 73.42 74.81 75.39 57.87 61.34 76.18 58.29 57.80 59.91
65 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 58.76 59.93 60.39 58.73 59.06 73.99 68.26 58.44 69.55 58.83 75.47 59.00 67.99 69.47 58.04 75.34 58.89 72.77 76.30 91.06 58.13 56.70 75.29 57.97 58.69 58.06
63 372 8 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 71.81 59.25 63.19 58.23 59.25 57.14 83.18 57.52 51.91 86.58 87.50 89.32 75.80 57.16 57.55 75.72 49.66 57.31 88.68 56.48 57.44 58.41 56.88 56.40 57.32 57.18
56 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 58.22 57.50 58.12 58.46 58.59 76.37 58.98 58.78 57.82 87.52 67.37 57.26 83.45 57.48 58.12 82.84 57.66 80.70 76.33 88.83 67.35 57.13 56.37 56.85 57.85 57.28
38 372 8 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 74.86 58.38 58.51 58.35 60.32 57.58 74.77 65.30 86.29 57.82 57.58 56.79 75.15 84.31 57.43 88.58 66.37 75.57 76.51 90.76 56.47 56.13 56.57 56.81 55.77 57.47
66 372 8 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 73.96 59.25 85.90 58.23 59.02 76.79 74.72 57.48 86.52 53.53 57.61 57.37 56.31 57.30 57.43 77.16 57.05 75.73 90.20 88.62 55.86 57.45 56.68 56.35 56.38 56.92
68 372 8 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 74.92 58.90 52.31 58.14 59.44 56.52 74.92 56.86 83.52 57.10 76.33 57.26 76.48 56.08 57.17 87.62 57.51 64.14 76.60 88.25 57.47 56.68 55.82 55.82 56.78 56.93
67 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 55.02 58.19 64.99 58.76 50.63 50.42 87.66 57.54 64.27 58.82 89.28 56.88 75.24 89.48 58.00 86.01 57.07 63.92 90.98 56.76 57.78 56.50 57.30 57.26 56.63 57.18
41 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 54.09 58.26 74.93 57.56 75.44 76.39 75.61 57.36 75.87 58.99 77.70 76.90 76.17 57.64 58.00 87.76 56.59 90.85 56.76 56.56 71.18 56.60 75.74 56.26 56.45 56.30
43 372 8 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 59.50 58.60 81.92 58.26 58.33 76.09 86.18 57.66 81.27 58.02 76.14 57.50 76.52 57.84 57.56 76.71 58.35 75.57 75.92 56.53 57.95 57.24 57.01 57.74 87.20 56.68
44 372 8 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 59.82 58.51 75.03 58.45 74.41 57.71 74.15 58.10 87.40 57.39 91.32 57.31 75.82 82.72 57.73 68.77 56.98 84.57 76.84 56.44 57.04 57.08 57.44 56.51 57.63 56.93
46 372 8 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 73.98 58.79 65.05 59.11 74.40 50.26 76.00 64.33 58.61 59.09 76.16 90.39 86.00 58.01 57.96 82.49 56.98 86.52 56.71 56.76 57.89 71.72 57.07 57.43 57.84 57.00
61 372 8 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 74.01 58.54 50.55 69.49 59.12 50.44 75.19 57.80 74.80 58.51 50.25 57.75 75.16 87.81 57.64 75.39 87.55 87.07 76.32 56.38 56.76 56.98 56.92 56.93 56.62 70.58
69 372 8 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 73.96 59.04 74.98 59.39 65.85 49.17 82.61 57.87 83.10 58.55 90.88 57.44 57.13 57.84 58.37 76.14 75.66 74.38 77.05 57.50 57.12 57.93 57.93 56.91 67.03 60.49
54 372 8 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 74.86 57.77 58.57 58.16 59.39 57.23 74.83 62.22 88.99 62.71 75.67 56.75 75.38 57.38 59.44 86.77 56.92 62.66 56.50 90.31 57.48 56.54 75.39 56.19 57.73 56.37
45 372 8 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 74.76 57.71 57.82 60.73 58.48 76.63 73.21 56.75 51.41 88.69 76.96 56.95 76.59 89.25 56.28 77.09 57.01 89.39 75.92 55.99 56.81 57.55 56.45 56.44 56.76 56.31
70 372 8 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 74.48 58.38 75.26 59.12 74.51 76.15 87.18 57.66 89.33 50.27 57.20 56.88 87.78 58.25 57.70 88.17 58.24 62.23 57.03 56.40 56.19 70.14 56.31 49.17 57.31 56.93
59 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 84.75 60.23 73.98 59.25 59.58 76.24 49.17 58.77 59.34 59.28 76.26 57.50 75.34 58.27 75.15 88.18 57.69 91.72 76.00 57.29 58.15 58.11 57.28 57.39 57.76 58.50
Size of the test data:  (71, 34)

Difference

Code
diff = dt[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt.columns,test_data_1.columns)):   
   diff[f'col_diff_{i}'] = (np.array(dt[cols[0]]) - np.array(test_data_1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff['negative_count'] = diff.apply(count_negatives, axis=1)
diff.sort_values(by =["negative_count"],inplace = True, ascending=False)

html_table = diff.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

# 
# show(diff)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
541 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -3.06 -6.25 -5.78 -6.40 -5.35 0.39 0.24 -6.67 -1.97 -1.64 1.78 0.98 -3.27 -2.03 -4.74 -2.97 -1.05 -2.70 0.90 -2.26 -6.39 -6.43 2.94 -6.88 -6.01 -1.49 20
601 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.83 -5.96 -5.32 -6.47 -5.34 0.73 1.28 -5.95 -1.50 -6.75 1.29 1.33 -0.36 -4.29 -4.81 -0.94 0.16 -2.06 -1.69 -2.73 -6.19 -7.13 -0.83 -7.42 1.72 -7.55 20
462 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -7.43 -5.55 -4.40 -6.08 -5.73 -0.71 -2.74 -5.13 -0.10 -7.26 0.87 -5.24 -3.90 -2.28 -4.64 2.03 -4.02 0.25 1.88 3.03 -6.13 -7.09 2.37 -7.19 -5.00 -5.88 20
282 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -3.33 -7.97 -4.64 -5.81 -5.19 -6.47 3.76 -7.51 -3.08 -5.61 2.76 -7.07 1.63 3.76 -5.66 4.29 -6.82 -5.05 5.67 -7.55 -7.89 -8.13 -7.66 -7.56 -7.79 -7.56 20
440 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -7.37 -6.64 -6.21 -6.40 -6.56 0.56 -0.33 -5.87 -1.72 -5.97 0.30 0.30 -2.51 -5.36 -5.22 -0.74 -5.47 0.76 0.80 0.08 -7.19 -6.31 2.60 -6.88 -1.85 -6.17 19
281 372 8 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.31 -5.77 -5.61 -6.21 -5.12 -8.27 -0.25 -6.90 4.20 -6.91 1.48 -6.31 0.75 -7.10 -8.10 3.12 -5.95 -6.10 1.46 2.72 -6.86 -8.07 -8.00 -7.19 -7.73 -7.35 19
342 372 8 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.67 -7.04 -0.82 -5.97 -0.18 -6.10 1.68 -4.38 -6.29 -6.19 1.11 3.31 4.10 -5.70 -6.43 3.90 -5.85 3.98 -6.40 -7.06 -6.37 -1.84 -7.49 -7.55 -6.41 -8.36 19
460 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.47 -6.44 -6.00 -6.82 -6.07 -5.19 -1.15 -6.22 -6.17 4.05 0.97 0.90 -0.83 -1.74 -5.46 -2.94 -5.45 0.73 1.02 1.62 -6.10 -6.44 2.53 -6.86 -5.40 -0.99 19
341 372 8 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.57 -6.06 1.30 -6.38 -0.19 -5.15 -0.51 -5.14 1.15 -6.20 4.64 -6.01 0.97 2.23 -5.13 -1.70 -6.83 3.93 1.95 -7.20 -6.62 -7.66 -6.65 -7.56 -6.83 -7.33 19
23 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -1.74 -6.56 -6.74 -6.94 -6.47 2.17 -6.09 -6.01 -6.32 6.54 -4.58 -6.32 2.45 -7.15 -5.19 4.15 -6.42 2.05 1.85 4.03 -2.54 -7.66 -7.48 -8.12 -7.89 -7.39 19
640 372 8 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.38 -6.07 -5.00 -7.43 -5.24 1.89 0.50 -5.25 -6.27 -6.47 0.79 1.85 -2.06 0.45 -4.45 -0.54 -4.53 3.25 1.31 -0.17 -5.69 -7.27 -6.39 -6.45 -7.19 -5.98 18
641 372 8 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.14 -5.59 -5.77 -6.31 -4.19 -5.71 -2.49 -5.12 -1.06 -7.52 0.80 -1.97 0.20 -0.06 -3.41 -4.29 -1.00 1.35 0.88 0.64 -5.95 -6.20 2.44 -5.95 -6.58 2.31 18
622 372 8 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.98 -6.18 -1.31 -5.93 -6.79 0.21 0.57 -6.00 -2.23 -1.28 -2.71 1.75 1.28 -2.49 -5.98 -0.95 -5.23 -0.79 0.59 0.44 -6.46 -6.66 2.02 -6.62 3.09 -7.16 18
403 372 8 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.63 -6.55 5.28 -6.31 -5.72 0.42 -1.77 -6.74 -5.73 -6.55 1.79 -6.79 -2.50 1.23 -6.00 -2.94 -0.86 2.66 1.07 0.86 -7.79 -7.18 0.64 -6.77 -7.95 -6.57 18
201 372 8 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 2.29 -7.11 -3.27 -6.65 -5.97 -5.48 3.60 -8.03 -4.34 5.98 2.62 4.98 1.33 -6.12 -6.24 1.20 -6.07 -7.70 3.24 -7.87 -6.91 -8.18 -7.23 -9.04 -7.09 -8.44 18
441 372 8 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.71 -5.41 -5.74 -6.96 -5.65 1.34 0.68 -5.67 -0.34 -6.86 1.27 -3.73 0.79 -2.55 -4.41 -1.55 -0.64 0.97 -1.48 0.83 -6.44 -6.81 2.00 -5.16 2.54 -7.08 18
362 372 8 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 3.44 -5.76 -5.82 -6.72 -6.51 -0.02 -1.51 0.59 1.04 -7.13 -3.89 -0.15 0.58 0.78 -5.55 -0.14 0.56 -1.62 1.61 -1.00 -6.47 -6.83 2.00 -7.03 -6.01 -7.22 18
43 372 8 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.44 -6.91 -6.00 -6.31 -5.31 -5.41 1.90 -7.34 4.59 -6.07 0.73 -6.71 0.46 -5.83 -5.30 4.08 -6.85 -3.04 -7.45 3.75 -7.11 -6.78 2.49 -8.09 -6.39 -8.72 18
343 372 8 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.10 -5.97 -6.32 -3.34 -7.35 -5.79 0.52 -6.71 -0.42 -6.06 -5.53 -6.32 0.23 2.72 -6.36 0.18 3.38 5.76 1.20 -7.16 -6.64 -7.48 -7.53 -7.58 -7.76 -1.23 18
223 372 8 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.15 -6.05 4.18 -6.73 -5.22 1.78 0.67 -6.94 2.46 -1.83 -5.58 -5.34 -2.79 -6.95 -6.34 1.25 -6.26 1.71 5.79 4.49 -7.33 -7.42 -7.08 -7.39 -8.37 -6.84 17
401 372 8 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -7.70 -6.19 -1.05 -5.48 -4.76 0.73 -1.99 -5.84 -6.83 -6.90 1.11 0.92 2.33 -4.84 -5.25 0.12 -6.06 -0.81 1.09 0.58 3.79 -5.14 3.90 -6.70 -5.71 -5.43 17
103 372 8 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.08 -6.30 1.06 -6.02 -0.00 0.95 4.50 -6.36 4.43 -5.57 -6.19 -6.33 4.00 -5.82 -6.55 4.39 -5.55 -5.91 -6.58 -6.81 -7.02 -2.50 -7.88 6.51 -7.33 -7.81 17
502 372 8 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.49 -6.17 -5.54 -7.05 -6.27 1.83 0.24 -5.88 -1.78 -1.23 -0.30 1.47 1.34 1.28 -6.07 -2.23 -6.12 1.45 1.95 -0.73 -5.64 -6.53 2.06 -6.29 2.26 -7.67 17
580 372 8 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.76 -6.06 -5.69 -6.24 -5.55 0.94 0.34 2.50 -1.69 -1.67 1.50 0.99 0.83 0.61 -4.52 -6.38 -4.59 -5.44 1.80 -0.20 -6.48 -6.40 2.77 -2.33 -6.71 -6.57 17
680 372 8 0.01 32 0.00001 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.47 -5.80 0.09 -1.97 -5.93 0.60 1.75 -4.93 -6.09 -5.96 1.05 -1.95 -0.05 0.71 -5.00 0.31 -6.03 -2.56 1.61 0.59 -5.20 -5.11 2.81 -6.36 -1.28 -6.94 17
642 372 8 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.33 -5.73 4.80 -5.48 -6.07 0.19 -0.70 -4.93 -4.76 -4.91 1.70 0.37 0.07 -0.36 -4.37 -1.53 -6.27 0.62 1.31 -0.69 -5.87 -6.94 5.04 -5.15 -0.79 -6.17 17
402 372 8 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.99 -7.54 -6.22 -6.86 -6.25 1.33 0.22 0.38 -6.67 -5.87 1.28 -0.11 1.23 1.69 -5.44 -2.08 -4.98 -0.85 1.56 0.15 -6.71 -4.70 3.00 -5.70 -6.87 -6.39 17
421 372 8 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.90 -4.36 -3.81 -5.62 -4.82 0.37 0.93 -4.75 -3.53 -6.95 -1.79 1.78 0.71 0.55 -3.48 -3.21 -4.60 0.54 -0.01 0.77 -6.41 -6.54 -1.61 -6.79 -6.38 2.50 17
562 372 8 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.63 -5.55 -5.58 -6.62 -6.06 -0.36 0.20 -5.15 -6.34 -6.25 0.73 1.16 -3.46 -1.95 -5.28 1.81 -5.26 0.65 0.63 0.95 2.53 -6.87 1.76 -7.17 -7.15 -6.22 17
661 372 8 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -1.25 -5.18 -5.46 -6.76 -6.08 0.62 0.72 -2.35 -1.36 -6.45 0.70 0.41 -1.84 1.28 -5.55 -2.92 -5.80 4.17 1.30 -1.45 1.63 -6.50 1.52 -6.58 -6.12 -7.56 17
361 372 8 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.87 -7.32 -5.67 -6.27 -6.62 -1.57 -0.85 -1.99 0.94 -6.59 1.18 1.35 -2.78 1.39 -5.49 -1.57 0.39 0.86 0.74 1.08 -6.30 -7.07 -0.76 -7.22 -1.96 -7.02 17
480 372 8 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -0.68 -6.65 -5.19 -6.64 -4.86 -5.26 0.29 1.49 -6.88 -6.90 -2.96 0.86 0.25 0.43 -5.06 -3.43 -0.31 -2.83 -2.80 0.95 2.54 -5.18 2.03 -4.65 2.59 -5.41 17
221 372 8 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.89 -5.85 -6.58 -6.46 -5.83 -5.31 0.12 -7.24 3.57 -6.50 -4.83 -5.78 1.48 3.28 -6.36 2.89 -3.68 1.91 1.62 4.43 -7.38 -7.88 -7.79 -7.32 -8.38 -6.90 17
42 372 8 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.70 -6.19 1.86 -6.08 -5.28 6.51 3.41 -6.38 3.28 -6.11 4.43 -6.05 -2.84 -5.48 -8.14 1.23 1.29 0.31 1.35 -6.34 -6.77 -7.70 -6.19 -7.35 -2.22 -7.67 16
340 372 8 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.13 -6.01 3.59 -6.93 -7.60 0.71 3.30 -6.52 2.63 -6.97 1.00 -6.07 2.37 -6.50 -6.93 2.24 -5.19 1.46 0.79 -6.98 -5.84 -5.86 -7.16 -7.99 4.23 -7.36 16
100 372 8 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.15 -7.08 -5.27 -8.21 -5.67 0.57 1.37 -6.97 -4.32 4.49 2.05 -6.38 1.94 3.00 -6.25 2.17 -6.34 3.22 0.54 -6.67 -7.99 -7.32 -7.81 -7.62 -6.49 -8.32 16
501 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.75 -5.41 -1.01 -7.09 -5.83 1.36 -0.24 -5.56 -7.11 -5.64 1.22 1.53 1.59 1.78 -6.15 2.29 0.12 -0.21 -2.08 0.80 -6.07 -5.94 2.11 -6.38 1.87 -8.22 16
160 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.81 -6.52 0.79 -5.96 -5.68 1.34 6.51 -6.26 -5.60 -6.83 1.62 -6.57 0.63 -6.01 1.12 2.53 -6.06 5.37 1.06 -6.77 -6.16 -7.80 -8.43 -7.94 -7.64 -7.60 16
663 372 8 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.23 -5.83 2.08 -6.85 -6.34 1.17 0.96 -5.66 -5.77 -5.85 2.01 0.28 -2.79 -5.09 -5.37 -2.51 0.55 1.03 -2.54 2.14 1.95 -2.21 2.79 -5.78 -7.30 -6.45 16
442 372 8 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.64 -5.63 -6.41 -6.98 -5.60 0.70 0.03 -6.72 4.24 -6.31 1.77 -6.11 -3.83 3.98 -5.14 2.77 -6.14 -1.26 0.88 1.31 -7.98 -7.17 2.90 -7.02 -2.24 -7.15 16
542 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.13 -6.78 -1.75 -6.71 -6.05 0.69 -1.06 2.20 -3.88 -6.17 1.16 1.34 -0.17 1.04 -5.41 -1.52 -0.40 -1.50 1.94 1.14 -5.49 -6.72 3.21 -7.12 2.29 -7.09 16
682 372 8 0.01 32 0.00001 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.41 -1.78 -5.64 -5.62 -5.86 1.87 1.08 -7.14 -6.21 -5.96 0.74 1.07 -0.95 0.81 -5.75 0.60 -6.30 1.18 1.78 -0.03 -5.85 -5.13 1.07 -6.99 -6.86 2.40 16
481 372 8 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.29 -5.54 1.49 -6.35 -6.66 -0.39 2.12 -6.64 -1.57 -6.96 2.23 1.23 1.21 0.10 -5.37 -4.00 0.91 -1.26 1.39 -0.05 -6.16 -6.55 3.50 -7.61 -6.80 -7.70 16
621 372 8 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.58 -6.25 -6.66 -5.68 -6.25 0.55 1.08 -4.51 -6.68 -5.44 1.53 0.37 0.61 0.43 -5.76 -3.48 -6.07 -2.71 -0.86 1.86 -5.75 -6.43 1.92 -6.75 3.33 -7.90 16
561 372 8 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.51 -5.57 -0.10 -6.22 -1.72 0.74 0.21 -5.09 -5.18 -6.59 0.97 -2.94 -1.56 -1.23 -4.54 -3.77 -1.66 0.71 0.47 1.41 -5.59 -7.09 2.20 -4.70 2.61 2.01 16
483 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -0.17 -1.47 -5.19 -6.31 -5.82 -0.83 0.45 -5.54 -5.70 -6.47 0.80 1.30 1.83 -1.18 -5.54 0.58 -5.47 1.08 0.43 1.12 -6.76 -6.97 1.63 -5.51 2.20 1.87 15
283 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.71 -6.86 1.05 -5.40 0.84 0.65 0.85 -6.81 1.48 -8.11 2.10 1.77 1.70 -4.92 -4.79 2.71 -6.48 3.38 -6.56 -6.99 -1.69 -7.19 4.43 -7.64 -6.74 -8.14 15
363 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.37 -5.86 3.56 -6.20 -6.07 0.08 0.80 -5.50 -1.45 -1.92 2.02 1.73 -0.13 -1.57 -5.04 1.33 -5.20 -0.15 1.29 1.39 -7.57 -5.67 2.31 -1.50 3.50 -7.05 15
420 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.08 -5.89 -5.97 -6.15 -5.60 -0.33 1.29 -5.27 1.07 -1.49 0.80 0.12 0.36 -2.26 -5.17 1.88 -5.73 -1.60 0.94 1.37 1.54 -5.93 -1.06 -8.16 1.76 -7.47 15
422 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.82 -2.07 -6.05 -5.99 -6.51 4.14 3.05 -5.70 3.05 -6.67 1.79 1.61 3.83 1.45 -4.43 -2.98 -6.36 1.30 0.96 0.25 -6.61 -7.07 2.15 -6.47 -3.64 -6.82 15
500 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.88 -6.45 -4.73 -5.43 -5.45 -0.37 2.30 -2.16 -1.80 -5.96 0.33 0.92 0.48 0.48 -4.50 0.10 -6.03 -2.56 0.03 1.15 0.92 -5.91 3.27 -7.59 -5.45 2.31 15
461 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.28 1.32 -5.33 -5.98 -5.80 -5.85 0.23 2.59 -6.34 -6.33 -0.36 0.07 2.49 1.79 -5.64 -0.41 -1.30 0.10 0.68 1.29 -5.89 -3.02 3.03 -6.08 -6.94 -4.90 15
540 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.74 -6.81 -6.19 -5.82 -6.34 0.74 1.31 -6.37 -6.26 -6.64 0.79 -2.27 -2.77 0.77 -5.00 0.04 -6.01 -2.13 2.33 0.18 -6.80 -6.52 2.90 -5.88 1.90 1.22 15
660 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.21 4.47 -5.45 -7.25 -5.53 1.01 0.90 -5.73 -2.64 -5.29 2.21 1.24 -3.04 -1.63 -5.24 0.76 0.69 -1.92 1.59 1.04 2.57 -2.40 -0.10 -7.21 -7.43 2.03 15
623 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.23 -6.15 4.03 -6.73 -1.09 -0.63 -0.29 2.49 -5.60 -7.45 6.14 0.55 0.68 1.28 -5.64 1.19 -1.90 -0.66 1.24 1.85 0.20 -5.97 2.78 -6.98 -6.30 -6.93 15
582 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.99 -5.93 -5.10 -6.61 -5.98 0.77 0.76 -6.23 -7.15 -6.36 0.57 -0.75 1.03 1.86 -6.00 0.83 -1.51 1.80 1.13 1.58 -6.76 -6.17 3.84 1.48 -6.27 -7.31 15
581 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.82 -6.14 -5.07 -5.75 -5.78 0.50 -0.49 -5.54 1.31 -6.68 0.62 -5.13 1.20 -5.58 -4.50 0.28 -4.52 0.93 0.15 0.66 -6.42 -5.92 2.17 -7.20 1.95 -1.69 15
380 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.56 -6.46 -5.40 -6.15 -6.14 -3.86 1.00 -4.68 -6.62 -7.19 0.79 0.43 -3.95 -4.80 -5.61 0.55 0.45 0.82 0.95 -3.17 3.46 -6.19 1.73 -5.76 2.08 -8.33 15
543 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.73 -6.30 -1.79 -6.14 -5.69 -1.31 -0.14 -4.77 -5.88 -5.14 -1.50 2.07 1.55 0.78 -5.92 2.26 -0.63 1.10 0.38 0.36 -8.74 3.54 1.31 -7.09 1.23 2.41 15
603 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.82 -5.78 -5.96 -6.59 -6.32 2.38 -2.26 -5.90 0.15 -7.47 1.81 -1.49 -0.87 0.23 -4.95 0.19 -5.44 0.78 2.57 1.72 -1.84 -7.00 1.97 -6.61 -5.85 2.23 15
602 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.85 -5.78 -1.06 -6.44 -6.18 0.30 0.39 -5.65 -6.01 -7.63 0.31 1.41 0.70 0.52 -5.66 1.91 2.17 -3.65 -1.49 0.90 -8.47 -6.95 2.10 -7.32 1.25 -7.21 14
423 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.97 -5.58 -6.78 -5.50 -5.24 0.81 0.60 2.21 1.10 -6.29 2.26 1.68 -2.33 -2.78 -4.50 -0.80 0.78 -2.49 2.07 0.63 -7.10 -6.29 2.37 -5.87 3.03 -7.23 14
360 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.58 -6.42 -5.09 -6.04 -6.76 1.36 0.01 -2.30 -5.48 -6.19 1.85 1.75 1.04 0.99 -4.42 -2.32 -2.01 -0.39 0.71 0.31 -6.96 -7.01 2.16 1.84 2.42 -7.72 14
443 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.43 -6.18 0.49 -6.74 -6.00 -0.00 -0.42 2.02 -6.47 -5.91 1.81 1.62 -3.65 2.72 -4.97 0.87 -2.01 1.53 0.57 0.92 2.34 -6.03 2.06 -7.53 -2.71 2.41 13
662 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.62 -6.66 -0.51 -5.86 -5.01 0.99 0.72 -4.55 -4.27 -6.23 2.04 1.14 -2.35 0.86 -4.57 -0.25 -0.01 0.58 0.85 0.66 -6.19 -6.46 1.87 2.82 2.39 1.26 13
563 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.07 -6.92 -6.58 -6.39 -5.50 0.68 0.26 -5.48 0.60 -5.90 1.25 0.35 -3.20 1.01 -5.69 -3.93 0.50 0.89 0.74 0.90 -5.63 -6.46 2.36 -6.12 -4.65 0.81 13
681 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.26 -5.20 -5.18 -6.68 -5.13 -0.71 0.85 -6.24 1.21 -4.25 1.06 0.63 1.91 1.02 -5.52 0.18 0.73 0.62 0.83 0.54 -6.42 -6.50 3.08 -6.48 2.63 -1.97 13
503 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.84 -6.60 0.86 -6.21 -5.23 2.68 -0.60 -5.86 -6.89 -2.73 0.80 0.98 0.05 2.22 -4.30 0.80 -5.67 1.03 1.04 1.02 -7.06 -6.38 3.61 2.28 -6.68 -6.79 13
381 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.78 -5.88 -1.34 -6.19 -6.08 0.33 0.18 -5.42 -6.44 1.73 -0.34 1.22 0.68 1.24 -4.55 0.89 -5.50 0.94 0.74 1.67 1.39 -6.51 2.34 -7.33 2.51 -1.68 13
600 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.87 -5.24 -6.43 -5.47 -5.89 0.16 3.78 -5.72 -6.06 -5.82 0.57 1.96 0.24 0.80 -4.98 -1.11 0.76 0.88 0.54 0.97 -6.44 -6.62 2.43 2.49 2.61 -7.09 12
482 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.08 -6.12 3.45 -6.84 -6.09 0.69 3.50 -6.58 1.59 -6.80 1.47 0.38 1.65 -5.55 -4.49 0.82 0.64 1.56 0.95 2.01 -6.63 -7.03 2.43 -7.45 -8.06 -8.12 12

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_16 75.624507 5.703662
mAP_valid_abs_values_7 74.990423 6.199911
mAP_valid_abs_values_11 74.701690 5.569680
mAP_valid_abs_values_13 74.609859 5.777028
mAP_valid_abs_values_19 74.014085 3.541885
mAP_valid_abs_values_18 73.907183 4.935307
mAP_valid_abs_values_20 73.636479 5.674818
mAP_valid_abs_values_6 72.796761 7.295900
mAP_valid_abs_values_12 71.844648 5.172016
mAP_valid_abs_values_14 71.547746 6.042366
mAP_valid_abs_values_23 71.076338 3.972736
mAP_valid_abs_values_9 70.199296 7.383349
mAP_valid_abs_values 69.794507 5.598650
mAP_valid_abs_values_3 68.341549 7.105455
mAP_valid_abs_values_25 68.045915 5.639856
mAP_valid_abs_values_17 67.792817 5.346892
mAP_valid_abs_values_8 67.551972 7.633763
mAP_valid_abs_values_26 66.744930 3.723547
mAP_valid_abs_values_10 66.451831 5.529089
mAP_valid_abs_values_2 65.853944 4.595918
mAP_valid_abs_values_21 65.531408 5.711575
mAP_valid_abs_values_5 65.360986 2.816002
mAP_valid_abs_values_4 64.928310 1.435519
mAP_valid_abs_values_24 64.906338 3.744198
mAP_valid_abs_values_22 64.898169 3.276207
mAP_valid_abs_values_15 63.807887 1.416292


We then apply the hyperparameters to the test set and average the results.

Code
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_7 75.583803 6.947502
mAP_test_abs_values_16 75.562394 7.400759
mAP_test_abs_values_11 75.360986 7.385620
mAP_test_abs_values_19 74.560563 5.644686
mAP_test_abs_values_13 74.553521 7.157026
mAP_test_abs_values_18 73.910704 7.144941
mAP_test_abs_values_20 73.288028 8.594499
mAP_test_abs_values_6 72.380563 9.188958
mAP_test_abs_values_23 71.242817 7.903738
mAP_test_abs_values_12 70.937183 8.279000
mAP_test_abs_values_14 70.510423 8.905256
mAP_test_abs_values 67.773803 8.960143
mAP_test_abs_values_9 67.568873 10.702296
average_map 66.901988 1.346355
mAP_test_abs_values_3 65.276479 10.466402
mAP_test_abs_values_25 64.902113 9.598245
mAP_test_abs_values_17 64.491268 8.219003
mAP_test_abs_values_8 62.819859 10.229975
mAP_test_abs_values_26 61.737324 7.387494
mAP_test_abs_values_10 61.367183 8.294788
mAP_test_abs_values_21 60.589859 8.865566
mAP_test_abs_values_2 60.134366 6.246953
mAP_test_abs_values_5 59.978169 4.242234
mAP_test_abs_values_24 59.002676 5.200085
mAP_test_abs_values_4 58.686338 1.950619
mAP_test_abs_values_22 58.680141 4.808960
mAP_test_abs_values_15 58.552254 2.172237
Statistical Significance:

Using the global mean maximum row as the reference, we perform the right-tailed t-test to identify significant hyperparameters.

Code
pvalues_mw = []
pvalues_real_mw = []

for _,index in enumerate(dt_valid_sub.index):

  _, p_value_mw = stats.mannwhitneyu(max_row[:-1], dt_valid_sub.loc[index][:-1], alternative='greater')#, method = 'asymptotic')
  pvalues_real_mw.append(p_value_mw)
  pvalues_mw.append((p_value_mw >= 0.05)*1)
  

dt_valid_sub_mw['pvalues_mw'] = pvalues_real_mw
dt_valid_sub_mw['sig_mw'] = pvalues_mw

dt_valid_sub_mw1 = dt_valid_sub_mw.query('sig_mw == 1')


max_indexx = dt_valid_sub_mw1.iloc[:, :-3].mean().idxmax()

#print(sum(pvalues),max_indexx)
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_valid_abs_values mAP_valid_abs_values_2 mAP_valid_abs_values_3 mAP_valid_abs_values_4 mAP_valid_abs_values_5 mAP_valid_abs_values_6 mAP_valid_abs_values_7 mAP_valid_abs_values_8 mAP_valid_abs_values_9 mAP_valid_abs_values_10 mAP_valid_abs_values_11 mAP_valid_abs_values_12 mAP_valid_abs_values_13 mAP_valid_abs_values_14 mAP_valid_abs_values_15 mAP_valid_abs_values_16 mAP_valid_abs_values_17 mAP_valid_abs_values_18 mAP_valid_abs_values_19 mAP_valid_abs_values_20 mAP_valid_abs_values_21 mAP_valid_abs_values_22 mAP_valid_abs_values_23 mAP_valid_abs_values_24 mAP_valid_abs_values_25 mAP_valid_abs_values_26
540 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 85.13 64.00 63.99 63.71 64.38 74.63 74.16 64.03 64.67 64.79 74.63 71.30 70.62 73.53 64.76 87.40 63.62 70.39 73.97 74.26 63.99 62.60 72.91 63.80 73.67 73.93
541 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 70.05 64.20 63.75 64.39 63.80 74.88 73.66 64.49 70.66 70.21 74.11 74.49 72.12 70.79 63.93 71.72 70.07 71.20 74.34 71.38 62.54 62.54 73.45 63.82 63.56 70.27
542 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 73.31 63.94 69.19 63.68 63.63 74.36 69.94 88.04 70.62 64.18 74.23 74.27 89.55 73.49 63.37 69.16 74.07 70.25 74.12 74.04 61.95 63.14 72.78 63.70 74.12 63.59
543 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 65.71 65.03 69.50 65.06 65.01 70.62 74.27 64.30 63.79 64.59 71.68 73.05 74.19 74.00 64.32 88.39 74.62 72.73 74.75 74.23 55.47 86.52 73.05 64.60 72.92 73.53
600 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 73.81 64.59 63.58 63.02 63.67 74.78 87.54 63.55 64.56 63.67 74.02 73.77 73.87 74.17 62.36 74.89 74.09 73.96 74.82 74.79 63.47 63.13 73.16 73.56 73.17 64.01
601 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 64.47 64.90 64.33 64.64 64.15 75.69 74.08 64.85 70.99 65.37 74.36 73.58 73.97 62.87 62.78 74.10 74.34 72.48 70.72 72.59 63.57 64.58 70.20 65.73 73.55 64.32
602 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 69.13 64.24 69.94 63.94 65.04 74.77 73.64 64.14 64.22 65.68 74.33 74.24 73.88 74.10 63.69 73.12 73.34 72.02 70.89 75.33 54.78 63.84 72.22 64.42 73.83 64.19
603 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 74.02 63.04 63.20 63.58 63.35 87.92 70.76 63.40 69.79 63.79 74.65 71.07 69.59 74.54 62.60 73.48 62.39 73.58 73.93 74.56 69.96 63.79 73.20 63.29 55.77 73.79
660 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 64.55 86.63 63.56 64.83 63.51 74.53 73.81 64.57 70.68 63.57 74.33 75.57 71.54 70.33 62.76 73.91 73.94 71.05 74.30 74.64 73.44 70.49 69.88 63.76 63.14 74.46
661 372 8 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 68.55 65.47 64.44 64.98 64.84 74.63 74.08 70.30 70.13 64.65 74.14 74.27 70.16 73.01 64.05 71.76 63.59 89.38 73.83 71.38 73.92 63.39 72.96 63.73 64.21 64.20
662 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 68.71 65.14 69.01 64.54 65.01 75.04 74.71 64.94 64.61 65.55 73.84 74.52 70.86 73.73 64.54 74.75 74.02 73.34 74.87 74.27 63.94 63.69 73.53 73.39 73.16 73.33
663 372 8 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 64.73 65.45 88.57 64.44 64.38 74.68 74.09 63.91 63.96 64.11 74.11 75.04 71.77 63.43 63.56 71.30 74.73 73.30 72.67 73.51 74.16 70.56 72.64 63.85 64.31 64.12
360 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 73.97 64.68 64.23 64.70 64.76 74.21 74.87 70.89 63.62 64.99 88.53 73.75 73.84 87.43 64.79 71.17 70.69 74.09 74.46 74.56 63.51 63.84 73.58 74.05 73.85 64.40
361 372 8 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 74.31 65.29 63.83 64.67 64.59 70.45 69.73 69.92 75.31 64.62 74.59 74.70 71.48 73.37 63.74 70.89 74.14 74.91 74.86 73.99 62.84 63.62 69.80 64.16 69.98 63.89
362 372 8 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 85.38 64.97 65.16 65.09 64.53 74.68 70.96 73.60 72.91 64.85 71.53 75.75 73.67 73.55 63.97 74.20 74.37 70.66 74.02 71.02 64.79 64.27 73.14 65.56 64.30 64.76
363 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 74.06 63.79 84.54 63.53 63.79 76.13 74.85 63.90 70.70 70.18 74.09 73.99 74.59 70.47 63.24 73.49 63.42 73.73 74.36 73.78 64.01 62.74 73.67 70.64 73.16 63.82
420 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 74.29 64.49 63.68 63.94 64.42 74.90 73.54 64.23 73.31 70.90 74.33 74.66 73.71 70.74 63.09 89.19 63.53 70.83 74.83 74.46 73.65 62.94 70.46 64.83 74.41 64.41
421 372 8 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 73.67 65.33 64.65 66.86 65.02 74.23 73.83 65.20 81.28 66.34 70.66 74.74 73.03 73.38 63.89 71.96 63.69 72.81 74.83 74.24 63.19 64.99 70.44 65.51 63.65 73.14
422 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 64.24 70.05 63.46 63.05 64.11 87.05 87.23 63.37 87.50 64.14 74.09 74.39 86.28 73.29 63.14 71.00 63.47 73.52 74.47 74.50 63.40 63.80 73.46 63.67 55.40 63.55
423 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 68.86 63.55 64.50 64.11 65.93 75.13 73.69 88.31 73.50 64.57 73.89 74.27 71.74 71.52 64.54 89.73 73.58 70.85 75.05 73.99 63.39 64.14 72.99 64.85 72.64 65.11
480 372 8 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 68.44 65.46 64.78 65.58 64.90 65.23 73.80 87.94 65.87 66.12 72.11 74.66 73.66 74.04 63.93 71.65 74.12 71.61 70.74 74.08 72.09 66.20 72.87 66.15 73.35 65.21
481 372 8 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 73.58 64.63 73.93 65.42 64.79 75.15 88.09 64.24 71.06 65.76 88.86 74.82 73.70 73.97 64.12 71.52 74.28 71.25 74.78 75.57 63.83 64.23 72.41 65.00 63.81 64.81
482 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 73.34 63.74 86.13 63.57 64.17 74.90 87.36 64.24 73.33 63.82 74.59 75.03 87.61 62.44 63.77 73.92 73.82 73.50 73.40 73.29 63.71 63.91 73.12 64.31 64.28 64.42
483 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 74.81 87.43 64.82 64.53 64.84 75.52 73.66 65.52 64.83 65.65 74.37 73.78 73.60 69.60 64.28 73.12 63.84 72.87 74.14 73.74 63.96 64.54 73.59 64.12 73.14 74.13
560 372 8 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 64.95 64.73 64.68 69.72 64.53 74.94 73.55 64.04 72.36 63.84 74.11 74.48 73.90 63.71 63.55 73.35 64.27 73.35 75.07 74.25 64.18 63.99 72.88 64.24 64.09 64.78
561 372 8 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 73.80 65.29 69.04 65.79 69.83 74.52 74.12 65.24 65.26 65.33 73.86 71.06 70.18 69.85 63.28 70.86 70.95 72.94 74.82 73.70 63.79 65.74 72.40 63.93 89.04 73.16
562 372 8 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 64.83 65.22 64.04 64.81 64.76 74.84 74.10 63.72 64.53 65.49 74.61 74.50 71.73 71.08 63.63 72.82 63.70 73.88 73.81 74.02 72.22 64.15 74.13 64.47 64.53 64.20
563 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 69.85 65.42 64.40 65.37 65.08 74.65 73.90 63.51 73.91 64.10 89.14 74.63 71.70 73.30 63.12 72.11 74.39 73.27 75.29 73.85 62.57 64.41 73.12 64.11 64.52 73.86
620 372 8 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 65.42 64.18 63.24 64.19 64.27 73.94 74.17 64.43 64.14 63.76 74.12 73.58 73.69 73.50 63.07 71.30 64.10 72.71 74.60 73.75 64.26 63.79 72.91 64.27 64.53 63.92
621 372 8 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 72.96 64.03 64.65 64.36 64.76 74.81 74.04 63.49 65.17 63.99 74.34 74.58 74.34 73.48 63.53 72.64 63.32 70.98 74.21 73.53 62.83 62.88 73.38 64.47 72.68 64.98
622 372 8 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 65.43 64.45 69.73 65.14 64.76 74.78 74.51 63.59 71.03 71.08 72.22 74.04 72.90 70.69 63.26 88.27 64.17 74.58 74.08 75.08 63.49 65.15 73.84 64.03 72.91 64.51
623 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 64.41 64.57 87.95 63.79 70.00 75.04 74.13 87.82 63.78 64.93 87.04 73.60 73.31 73.31 62.53 73.97 70.84 73.83 74.26 87.60 70.00 63.47 72.33 63.49 63.49 64.06
680 372 8 0.01 32 0.00001 48 0.000000e+00 0.000000e+00 65.43 64.27 68.92 70.44 64.78 76.05 89.41 64.00 64.36 64.73 74.37 71.45 74.22 73.00 63.87 75.19 64.55 70.93 74.23 73.99 63.44 64.45 72.91 64.24 70.45 63.92
681 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 64.60 63.95 63.84 65.02 64.40 74.76 75.81 64.13 73.72 62.42 73.62 74.52 87.28 73.31 62.89 73.21 74.16 73.91 73.86 73.96 63.92 63.69 72.53 63.82 73.29 70.34
682 372 8 0.01 32 0.00001 48 1.000000e-08 0.000000e+00 65.40 70.76 64.30 65.01 64.42 75.07 73.95 64.41 64.46 63.95 74.37 74.04 73.12 73.50 63.84 73.39 63.77 73.23 73.79 74.77 63.26 63.53 72.80 64.02 63.44 73.41
380 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 69.29 65.25 63.88 64.92 64.49 71.30 73.21 63.57 65.67 65.16 74.37 74.98 71.55 63.29 63.19 73.84 74.60 72.87 75.01 71.67 88.41 64.19 72.91 64.98 72.76 65.72
381 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 65.50 64.28 69.96 64.78 64.53 74.79 74.85 63.88 63.47 87.84 70.76 74.00 88.83 72.87 62.65 72.60 63.89 73.37 74.83 74.75 73.89 64.77 73.55 64.30 73.68 70.12
382 372 8 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 74.03 64.20 64.10 64.44 64.51 71.04 74.25 63.60 63.65 65.40 74.37 64.54 71.38 73.59 63.73 73.50 63.64 71.14 74.76 74.02 63.42 63.60 72.65 63.41 64.14 73.63
383 372 8 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 68.45 64.14 64.01 66.00 64.04 74.36 73.93 63.43 63.85 64.78 74.39 70.34 72.82 72.78 63.39 73.29 74.30 72.57 74.31 70.82 63.51 63.93 72.42 64.85 64.04 64.28
440 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 66.08 64.94 64.30 63.99 64.27 75.10 74.67 63.96 70.08 64.62 74.61 74.77 70.54 63.59 63.46 74.12 64.22 73.04 74.39 74.83 63.60 64.26 73.91 64.70 72.08 64.51
441 372 8 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 64.77 64.39 63.99 64.88 64.45 74.44 86.04 62.75 74.67 65.04 73.60 71.50 74.10 71.64 63.37 70.55 74.47 72.88 72.21 74.53 63.94 65.94 72.68 65.22 72.89 64.72
442 372 8 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 68.72 63.97 63.63 64.57 64.54 75.10 74.06 63.98 87.03 64.40 73.86 64.08 71.38 87.14 63.51 87.37 63.49 73.11 74.59 74.00 55.34 64.74 72.39 63.77 71.22 64.90
443 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 64.42 64.92 74.57 64.54 64.51 74.45 73.54 88.51 64.65 63.62 74.25 74.51 71.08 72.83 63.53 73.46 71.51 72.75 74.14 74.25 72.68 64.39 73.36 64.45 72.13 73.35
500 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 65.50 66.00 64.16 64.85 64.83 75.15 86.50 70.05 70.63 64.57 74.86 73.90 73.42 73.27 63.21 73.71 63.83 71.20 74.12 74.27 73.55 64.16 72.65 65.23 64.64 73.66
501 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 64.49 63.97 69.56 65.15 64.53 74.37 74.48 64.07 64.01 63.72 74.14 73.89 73.85 73.32 63.99 87.60 74.44 73.61 71.40 73.73 63.82 63.44 73.16 63.21 73.88 65.51
502 372 8 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 65.20 64.75 63.99 64.68 64.78 89.57 73.85 64.37 70.91 69.81 70.10 75.06 73.59 73.56 63.47 71.32 64.33 72.83 73.68 73.96 63.28 63.94 74.91 64.55 72.70 65.54
503 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.04 64.79 73.96 64.17 64.48 89.02 73.79 63.46 64.53 70.91 74.33 74.45 73.92 73.22 63.04 72.61 62.52 72.12 74.09 74.28 63.62 63.51 72.21 73.86 63.51 64.26
580 372 8 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 65.44 65.18 65.51 65.06 64.62 75.40 74.19 88.93 70.21 70.01 74.12 74.10 87.71 73.13 63.60 65.27 63.63 64.67 73.60 74.78 64.70 63.99 72.64 69.07 64.22 64.47
581 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 85.64 64.95 64.26 64.86 64.94 74.91 74.37 63.97 87.48 65.19 74.84 63.99 73.12 63.85 63.50 73.87 63.07 72.70 74.59 74.39 63.92 63.92 73.16 64.98 73.43 69.79
582 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 66.24 64.38 64.29 64.56 64.21 74.41 73.47 63.74 64.85 64.45 74.12 71.07 73.40 73.02 63.74 73.41 71.28 72.84 73.79 73.79 64.56 63.92 72.40 73.91 64.01 64.63
583 372 8 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 65.09 64.55 65.03 64.35 65.88 64.21 75.53 63.91 64.77 65.43 75.18 63.32 88.89 63.87 63.39 70.92 63.00 70.91 74.52 74.58 63.71 64.19 72.63 64.47 63.47 64.40
640 372 8 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 73.81 64.38 63.76 64.42 64.74 74.78 73.80 63.98 65.39 64.62 74.08 74.04 70.43 73.84 64.63 73.80 62.82 86.66 74.58 75.25 63.19 63.30 63.69 63.56 64.67 63.69
641 372 8 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 74.10 65.40 64.98 64.63 65.73 62.97 71.11 64.35 70.33 65.50 74.83 71.54 73.60 73.08 63.44 71.54 70.76 72.81 74.34 74.52 63.92 64.17 73.16 64.49 64.47 73.80
642 372 8 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 69.54 64.36 86.83 64.74 65.01 75.08 74.31 63.45 65.26 65.36 74.82 74.80 73.89 70.07 63.68 74.21 64.33 73.12 74.11 75.12 64.30 64.19 85.30 64.58 70.24 65.25
643 372 8 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 65.74 64.63 64.76 64.90 65.20 63.38 73.76 64.82 64.77 65.17 73.87 74.18 73.09 70.71 63.24 73.25 65.26 73.74 73.85 73.83 64.43 64.41 69.55 64.34 73.89 65.14
400 372 8 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 66.20 64.76 63.92 64.74 64.96 74.89 74.31 63.94 64.22 64.33 74.12 74.45 73.39 61.81 64.17 72.85 62.89 70.02 74.80 70.58 53.26 63.90 71.91 63.67 73.11 69.72
401 372 8 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 66.49 64.73 69.87 65.51 65.25 73.87 70.58 64.68 65.07 65.52 74.50 74.52 87.15 63.91 63.75 73.41 65.20 69.72 73.60 74.84 87.32 64.44 72.39 64.78 64.19 64.42
402 372 8 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 65.73 64.72 64.20 65.36 64.78 74.53 74.09 86.71 64.30 63.66 74.03 75.24 87.91 72.89 64.27 73.44 64.07 72.81 73.64 74.28 63.69 62.54 72.18 63.42 64.03 64.45
403 372 8 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 66.37 64.51 86.93 64.75 64.51 74.63 70.60 63.57 64.08 64.96 74.36 63.57 70.03 73.00 63.44 70.64 70.62 86.42 74.08 74.25 54.67 65.00 69.50 64.06 64.93 63.89
460 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 65.18 64.12 64.63 65.48 65.51 63.17 74.60 64.31 65.87 86.36 74.33 74.52 69.52 70.74 63.48 71.01 64.58 73.13 75.34 74.03 63.17 64.19 72.63 64.73 63.53 69.56
461 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 73.95 86.61 64.03 64.52 64.74 63.77 73.87 87.04 64.86 63.73 70.29 74.62 72.67 73.16 63.38 73.20 70.13 73.32 74.13 74.10 63.76 64.36 73.15 64.37 64.74 64.81
462 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 66.19 65.48 64.79 64.81 64.79 74.70 71.00 63.57 69.65 66.09 74.60 64.24 71.89 71.75 62.68 73.31 62.91 72.52 74.42 88.03 64.26 63.79 72.92 65.16 63.69 63.94
463 372 8 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 65.48 64.40 64.51 64.79 64.78 74.83 69.76 62.74 69.83 64.41 74.39 63.14 73.39 70.44 63.87 73.13 63.62 72.79 74.11 74.57 64.17 63.74 73.89 63.92 72.93 64.89
520 372 8 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 65.31 64.60 64.78 65.43 65.50 64.32 73.87 64.15 63.17 69.97 73.59 63.85 73.92 73.33 63.33 73.77 73.15 71.33 75.60 74.31 62.91 63.56 73.16 64.53 74.40 65.48
521 372 8 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 65.76 64.53 64.49 64.86 64.91 64.07 73.87 63.78 64.24 70.75 74.59 74.36 73.18 73.56 63.39 70.78 64.77 72.83 73.83 74.54 52.54 64.12 69.33 64.79 71.94 64.80
522 372 8 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 65.62 64.78 65.25 64.95 64.45 74.37 73.89 65.01 64.59 65.08 74.09 63.49 71.23 64.11 63.76 70.42 64.30 73.30 73.57 74.80 64.42 64.96 72.18 64.62 64.98 65.50
523 372 8 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 66.59 64.31 64.91 65.55 65.20 74.62 74.65 63.80 64.35 64.75 74.58 70.46 73.14 73.06 64.11 69.53 63.79 73.06 74.36 75.32 65.13 65.08 72.41 65.43 64.85 64.65
241 372 8 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 65.52 65.31 65.47 64.68 64.96 65.52 72.65 64.85 71.45 64.82 63.94 63.55 73.98 64.01 64.52 73.90 64.85 71.67 74.98 63.96 74.09 65.84 65.48 64.03 64.95 64.92
123 372 8 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 72.61 42.66 64.97 66.33 64.86 80.04 72.29 75.41 63.73 65.71 74.61 63.85 74.97 63.78 64.29 60.82 64.82 56.93 63.90 64.92 72.36 66.39 65.07 64.59 65.40 65.07
201 372 8 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 69.52 66.36 66.46 64.88 65.22 62.62 79.58 65.55 56.25 80.60 84.88 84.34 74.47 63.28 63.79 74.52 55.73 65.01 85.44 64.35 64.35 66.59 64.11 65.44 64.41 65.62
202 372 8 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 73.51 65.44 79.13 65.35 65.31 74.50 73.90 66.06 74.00 64.95 64.29 64.54 74.93 84.04 62.98 75.04 64.38 63.63 64.55 63.08 65.29 64.91 64.30 65.75 64.84 65.84
203 372 8 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 81.08 66.21 65.59 64.61 65.62 75.66 73.03 64.71 74.16 65.89 74.88 63.69 74.98 63.75 63.81 74.97 63.49 64.33 74.93 63.69 66.56 64.54 63.49 65.31 64.92 65.15
261 372 8 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 73.47 64.77 65.38 64.35 74.03 63.06 73.62 64.19 80.27 55.12 63.31 74.61 74.89 63.88 62.98 74.51 63.20 63.38 75.13 74.54 64.81 63.95 62.89 63.03 64.41 76.21
263 372 8 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 72.49 65.81 55.95 65.06 73.21 56.78 82.61 64.86 64.36 76.89 64.20 63.58 69.93 67.45 63.99 75.07 82.60 75.06 63.80 63.66 64.09 64.96 65.97 64.79 65.23 68.04
322 372 8 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 71.35 65.28 73.54 64.86 65.64 63.12 78.69 64.37 76.31 59.30 64.29 63.74 74.96 64.09 62.66 64.81 64.34 74.99 82.05 81.35 64.54 64.65 64.51 63.89 64.41 64.38
323 372 8 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 73.21 65.50 73.17 64.98 64.65 75.32 80.29 65.20 60.64 64.62 74.92 63.57 74.88 63.94 63.68 80.57 79.32 64.05 63.19 63.03 64.50 63.73 63.99 64.20 64.62 63.97
20 372 8 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 75.96 65.17 64.68 65.31 64.95 62.88 73.32 66.03 79.43 65.83 63.83 81.91 74.70 64.30 64.90 73.80 64.60 73.81 56.01 64.64 67.00 65.37 55.86 65.59 65.33 66.48
22 372 8 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 72.13 64.89 72.28 64.86 64.68 74.94 80.86 64.81 74.53 63.85 84.53 63.09 68.22 68.47 64.20 74.28 62.71 67.71 75.00 62.55 63.47 64.59 64.63 63.57 64.20 64.37
23 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 59.96 64.06 64.86 65.40 65.06 74.20 65.07 64.79 64.14 80.98 71.95 63.58 81.00 64.63 63.31 78.69 64.08 78.65 74.48 84.80 69.89 64.79 63.85 64.97 65.74 64.67
81 372 8 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 73.49 42.66 64.70 67.44 70.89 75.36 73.54 64.78 73.98 82.46 85.97 63.84 75.06 63.01 66.22 64.28 64.78 64.98 63.95 63.51 65.57 66.20 64.86 65.33 64.86 65.10
83 372 8 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 57.19 65.59 69.85 64.98 64.94 64.31 72.23 63.78 65.15 64.58 63.55 64.57 74.65 74.47 62.83 83.62 81.92 74.91 75.13 55.99 64.35 66.05 66.18 65.30 65.28 65.10
142 372 8 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 72.61 64.34 64.73 65.34 65.03 74.33 70.39 64.69 64.69 73.89 64.09 63.59 73.99 63.62 64.46 74.50 64.06 74.49 74.64 82.54 63.28 65.17 64.74 65.02 64.56 64.73
143 372 8 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 64.25 65.17 65.23 65.24 69.36 75.28 65.84 64.58 65.62 56.87 74.81 70.81 74.62 63.56 64.52 84.84 65.02 65.30 75.64 64.09 65.95 65.43 64.94 65.62 64.25 65.09
221 372 8 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 72.97 64.23 65.09 64.81 66.15 62.89 74.65 72.54 82.72 64.32 62.41 62.57 73.67 81.03 63.79 85.69 70.05 73.66 74.89 86.33 63.85 64.01 64.36 64.13 64.15 64.37
223 372 8 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 72.81 65.30 81.72 64.96 64.24 75.01 74.05 64.42 84.06 55.36 63.19 62.71 59.10 64.25 63.77 75.91 63.31 74.02 84.41 84.13 63.19 64.87 63.76 63.74 64.75 63.76
281 372 8 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 73.61 64.67 57.92 64.35 64.56 64.79 75.17 63.76 79.32 64.01 74.85 63.57 75.73 63.18 65.27 84.50 63.46 70.24 75.14 85.53 64.33 64.75 63.82 63.01 64.51 64.28
282 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 58.35 66.16 69.63 64.57 55.82 56.89 83.90 65.05 67.35 64.43 86.52 63.95 73.61 85.72 63.66 81.72 63.89 68.97 85.31 64.31 65.67 64.63 64.96 64.82 64.42 64.74
283 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 59.80 65.12 73.88 62.96 74.60 75.74 74.76 64.17 74.39 67.10 75.60 75.13 74.47 62.56 62.79 85.05 63.07 87.47 63.32 63.55 72.87 63.79 71.31 63.90 63.19 64.44
340 372 8 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 65.63 64.61 78.33 65.19 65.93 75.38 82.88 64.18 78.64 64.99 75.14 63.57 74.15 64.34 64.49 74.47 63.54 74.11 75.13 63.51 63.79 63.10 64.17 65.73 82.97 64.04
341 372 8 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 65.39 64.57 73.73 64.83 74.60 62.86 74.66 63.24 86.25 63.59 86.68 63.32 74.85 80.49 62.86 70.47 63.81 80.64 74.89 63.64 63.66 64.74 64.09 64.07 64.46 64.26
342 372 8 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 73.31 65.83 65.87 65.08 74.58 56.36 74.32 68.71 64.90 65.28 75.05 87.08 81.90 63.71 64.39 78.59 62.83 82.54 63.11 63.82 64.26 73.56 64.56 64.98 64.25 65.36
343 372 8 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 72.91 64.51 56.87 72.83 66.47 56.23 74.67 64.51 75.22 64.57 55.78 64.07 74.93 85.09 64.00 75.21 84.17 81.31 75.12 63.54 63.40 64.46 64.45 64.51 64.38 71.81
40 372 8 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 73.91 64.55 55.75 64.56 74.77 75.16 73.14 64.30 64.00 64.56 74.86 62.75 85.48 74.40 63.29 71.17 63.12 55.64 83.74 63.06 73.57 63.86 63.43 64.79 64.29 64.76
41 372 8 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 73.61 64.80 73.58 65.31 64.99 63.80 83.33 65.18 73.03 66.01 74.59 63.19 73.64 82.58 64.97 74.46 65.97 62.20 63.87 63.23 63.42 65.55 64.90 65.18 65.20 64.41
42 372 8 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 73.26 65.23 73.12 65.47 71.13 42.66 79.20 64.25 79.82 64.66 86.45 63.49 59.97 63.32 66.51 74.91 74.37 74.07 75.70 63.84 63.89 65.63 64.12 64.26 69.25 68.16
43 372 8 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 73.42 64.68 64.57 64.47 64.70 62.64 72.93 69.56 84.40 68.78 74.94 63.46 74.92 63.21 64.74 82.69 63.77 65.70 63.95 86.56 64.59 63.32 72.90 64.28 64.12 65.09
100 372 8 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 73.61 64.79 63.09 68.94 64.15 76.06 71.84 63.72 55.73 84.20 74.91 63.33 74.65 86.25 62.53 74.92 63.35 86.17 75.38 62.66 64.80 64.87 64.26 64.06 63.25 64.63
103 372 8 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 73.40 64.68 74.20 65.14 74.51 75.20 82.68 64.02 84.90 55.84 63.39 63.21 83.78 64.07 64.25 83.78 63.79 68.14 63.61 63.21 63.21 72.64 64.19 42.66 64.64 64.74
160 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 82.94 66.75 73.19 65.21 65.26 74.90 42.66 65.03 64.94 66.11 74.64 64.07 74.71 64.28 74.03 85.65 63.75 86.35 74.94 64.06 64.31 65.91 65.71 65.33 65.40 66.10
163 372 8 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 73.17 73.42 64.84 72.31 59.26 76.17 58.08 66.16 83.89 42.66 75.39 62.98 73.82 64.82 64.65 84.85 62.78 64.25 75.14 63.55 63.28 63.56 64.77 64.77 64.49 64.59
Size of the All data:  (140, 29)
Size of the Sig data:  (100, 34)
Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params_mw1 = dt_valid.loc[dt_valid_sub_mw1.index][['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
optimal_params_mw = optimal_params_mw1.reset_index()
optimal_params_mw.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_mw1 = pd.merge(optimal_params_mw, dt_test, on=['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg'])
test_data_1_sub_mw = test_data_mw1[list(test_data_mw1.columns[test_data_mw1.columns.str.startswith('mAP_test')])]

Equivalent test data

input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg mAP_test_abs_values mAP_test_abs_values_2 mAP_test_abs_values_3 mAP_test_abs_values_4 mAP_test_abs_values_5 mAP_test_abs_values_6 mAP_test_abs_values_7 mAP_test_abs_values_8 mAP_test_abs_values_9 mAP_test_abs_values_10 mAP_test_abs_values_11 mAP_test_abs_values_12 mAP_test_abs_values_13 mAP_test_abs_values_14 mAP_test_abs_values_15 mAP_test_abs_values_16 mAP_test_abs_values_17 mAP_test_abs_values_18 mAP_test_abs_values_19 mAP_test_abs_values_20 mAP_test_abs_values_21 mAP_test_abs_values_22 mAP_test_abs_values_23 mAP_test_abs_values_24 mAP_test_abs_values_25 mAP_test_abs_values_26
24 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 89.87 57.19 57.80 57.89 58.04 75.37 75.47 57.66 58.41 58.15 75.42 69.03 67.85 74.30 59.76 87.44 57.61 68.26 76.30 74.44 57.19 56.08 75.81 57.92 75.57 75.15
50 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 66.99 57.95 57.97 57.99 58.45 75.27 73.90 57.82 68.69 68.57 75.89 75.47 68.85 68.76 59.19 68.75 69.02 68.50 75.24 69.12 56.15 56.11 76.39 56.94 57.55 68.78
7 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 74.44 57.16 67.44 56.97 57.58 75.05 68.88 90.24 66.74 58.01 75.39 75.61 89.38 74.53 57.96 67.64 73.67 68.75 76.06 75.18 56.46 56.42 75.99 56.58 76.41 56.50
8 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 58.98 58.73 67.71 58.92 59.32 69.31 74.13 59.53 57.91 59.45 70.18 75.12 75.74 74.78 58.40 90.65 73.99 73.83 75.13 74.59 46.73 90.06 74.36 57.51 74.15 75.94
18 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 74.68 59.35 57.15 57.55 57.78 74.94 91.32 57.83 58.50 57.85 74.59 75.73 74.11 74.97 57.38 73.78 74.85 74.84 75.36 75.76 57.03 56.51 75.59 76.05 75.78 56.92
58 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 58.64 58.94 59.01 58.17 58.81 76.42 75.36 58.90 69.49 58.62 75.65 74.91 73.61 58.58 57.97 73.16 74.50 70.42 69.03 69.86 57.38 57.45 69.37 58.31 75.27 56.77
49 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 69.98 58.46 68.88 57.50 58.86 75.07 74.03 58.49 58.21 58.05 74.64 75.65 74.58 74.62 58.03 75.03 75.51 68.37 69.40 76.23 46.31 56.89 74.32 57.10 75.08 56.98
48 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 74.84 57.26 57.24 56.99 57.03 90.30 68.50 57.50 69.94 56.32 76.46 69.58 68.72 74.77 57.65 73.67 56.95 74.36 76.50 76.28 68.12 56.79 75.17 56.68 49.92 76.02
11 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 58.34 91.10 58.11 57.58 57.98 75.54 74.71 58.84 68.04 58.28 76.54 76.81 68.50 68.70 57.52 74.67 74.63 69.13 75.89 75.68 76.01 68.09 69.78 56.55 55.71 76.49
35 372 8 0.01 24 0.00001 48 0.000000e+00 1.000000e-08 67.30 60.29 58.98 58.22 58.76 75.25 74.80 67.95 68.77 58.20 74.84 74.68 68.32 74.29 58.50 68.84 57.79 93.55 75.13 69.93 75.55 56.89 74.48 57.15 58.09 56.64
14 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 69.33 58.48 68.50 58.68 60.00 76.03 75.43 60.39 60.34 59.32 75.88 75.66 68.51 74.59 59.97 74.50 74.01 73.92 75.72 74.93 57.75 57.23 75.40 76.21 75.55 74.59
30 372 8 0.01 24 0.00001 48 1.000000e-08 1.000000e-08 58.50 59.62 90.65 57.59 58.04 75.85 75.05 58.25 58.19 58.26 76.12 75.32 68.98 58.34 58.19 68.79 75.28 74.33 70.13 75.65 76.11 68.35 75.43 58.07 57.01 57.67
1 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 74.55 58.26 59.14 58.66 58.00 75.57 74.88 68.59 58.14 58.80 90.38 75.50 74.88 88.42 60.37 68.85 68.68 73.70 75.17 74.87 56.55 56.83 75.74 75.89 76.27 56.68
42 372 8 0.01 24 0.00100 24 0.000000e+00 1.000000e-08 75.18 57.97 58.16 58.40 57.97 68.88 68.88 67.93 76.25 58.03 75.77 76.05 68.70 74.76 58.25 69.32 74.53 75.77 75.60 75.07 56.54 56.55 69.04 56.94 68.02 56.87
21 372 8 0.01 24 0.00100 24 1.000000e-08 0.000000e+00 88.82 59.21 59.34 58.37 58.02 74.66 69.45 74.19 73.95 57.72 67.64 75.60 74.25 74.33 58.42 74.06 74.93 69.04 75.63 70.02 58.32 57.44 75.14 58.53 58.29 57.54
9 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 75.43 57.93 88.10 57.33 57.72 76.21 75.65 58.40 69.25 68.26 76.11 75.72 74.46 68.90 58.20 74.82 58.22 73.58 75.65 75.17 56.44 57.07 75.98 69.14 76.66 56.77
13 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 75.37 58.60 57.71 57.79 58.82 74.57 74.83 58.96 74.38 69.41 75.13 74.78 74.07 68.48 57.92 91.07 57.80 69.23 75.77 75.83 75.19 57.01 69.40 56.67 76.17 56.94
34 372 8 0.01 24 0.00100 36 0.000000e+00 1.000000e-08 74.57 60.97 60.84 61.24 60.20 74.60 74.76 60.45 77.75 59.39 68.87 76.52 73.74 73.93 60.41 68.75 59.09 73.35 74.82 75.01 56.78 58.45 68.83 58.72 57.27 75.64
16 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 58.42 67.98 57.41 57.06 57.60 91.19 90.28 57.67 90.55 57.47 75.88 76.00 90.11 74.74 58.71 68.02 57.11 74.82 75.43 74.75 56.79 56.73 75.61 57.20 51.76 56.73
2 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 69.83 57.97 57.72 58.61 60.69 75.94 74.29 90.52 74.60 58.28 76.15 75.95 69.41 68.74 60.04 88.93 74.36 68.36 77.12 74.62 56.29 57.85 75.36 58.98 75.67 57.88
17 372 8 0.01 24 0.00100 48 0.000000e+00 0.000000e+00 67.76 58.81 59.59 58.94 60.04 59.97 74.09 89.43 58.99 59.22 69.15 75.52 73.91 74.47 58.87 68.22 73.81 68.78 67.94 75.03 74.63 61.02 74.90 61.50 75.94 59.80
3 372 8 0.01 24 0.00100 48 0.000000e+00 1.000000e-08 74.87 59.09 75.42 59.07 58.13 74.76 90.21 57.60 69.49 58.80 91.09 76.05 74.91 74.07 58.75 67.52 75.19 69.99 76.17 75.52 57.67 57.68 75.91 57.39 57.01 57.11
6 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 74.42 57.62 89.58 56.73 58.08 75.59 90.86 57.66 74.92 57.02 76.06 75.41 89.26 56.89 59.28 74.74 74.46 75.06 74.35 75.30 57.08 56.88 75.55 56.86 56.22 56.30
10 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 74.64 85.96 59.63 58.22 59.02 74.69 74.11 59.98 59.13 59.18 75.17 75.08 75.43 68.42 58.74 73.70 58.37 73.95 74.57 74.86 57.20 57.57 75.22 58.61 75.34 76.00
65 372 8 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 59.11 58.73 59.22 70.27 59.19 75.77 74.68 59.04 74.89 59.70 76.14 75.36 74.93 58.55 59.03 74.37 58.58 74.04 76.06 75.11 58.12 56.98 73.68 57.14 56.98 57.10
12 372 8 0.01 32 0.00001 24 0.000000e+00 1.000000e-08 74.31 59.72 68.94 59.57 68.11 75.26 74.33 60.15 60.08 58.74 74.83 68.12 68.62 68.62 58.74 67.09 69.29 73.65 75.29 75.11 58.20 58.65 74.60 59.23 91.65 75.17
62 372 8 0.01 32 0.00001 24 1.000000e-08 0.000000e+00 58.20 59.67 58.46 58.19 58.70 74.48 74.30 58.57 58.19 59.24 75.34 75.66 68.27 69.13 58.35 74.63 58.44 74.53 74.44 74.97 74.75 57.28 75.89 57.30 57.38 57.98
19 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 70.92 58.50 57.82 58.98 59.58 75.33 74.16 58.03 74.51 58.20 90.39 74.98 68.50 74.31 57.43 68.18 74.89 74.16 76.03 74.75 56.94 57.95 75.48 57.99 59.87 74.67
80 372 8 0.01 32 0.00001 36 0.000000e+00 0.000000e+00 58.04 57.78 57.17 57.71 57.77 74.90 74.98 58.24 57.93 57.54 75.40 75.06 72.99 74.28 57.31 68.84 58.65 74.95 75.72 75.36 57.41 56.77 75.47 57.34 57.71 57.01
53 372 8 0.01 32 0.00001 36 0.000000e+00 1.000000e-08 74.54 57.78 57.99 58.68 58.51 75.36 75.12 58.98 58.49 58.55 75.87 74.95 74.95 73.91 57.77 69.16 57.25 68.27 73.35 75.39 57.08 56.45 75.30 57.72 76.01 57.08
27 372 8 0.01 32 0.00001 36 1.000000e-08 0.000000e+00 58.45 58.27 68.42 59.21 57.97 74.99 75.08 57.59 68.80 69.80 69.51 75.79 74.18 68.20 57.28 87.32 58.94 73.79 74.67 75.52 57.03 58.49 75.86 57.41 76.00 57.35
0 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 58.18 58.42 91.98 57.06 68.91 74.41 73.84 90.31 58.18 57.48 93.18 74.15 73.99 74.59 56.89 75.16 68.94 73.17 75.50 89.45 70.20 57.50 75.11 56.51 57.19 57.13
40 372 8 0.01 32 0.00001 48 0.000000e+00 0.000000e+00 58.96 58.47 69.01 68.47 58.85 76.65 91.16 59.07 58.27 58.77 75.42 69.50 74.17 73.71 58.87 75.50 58.52 68.37 75.84 74.58 58.24 59.34 75.72 57.88 69.17 56.98
23 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 58.34 58.75 58.66 58.34 59.27 74.05 76.66 57.89 74.93 58.17 74.68 75.15 89.19 74.33 57.37 73.39 74.89 74.53 74.69 74.50 57.50 57.19 75.61 57.34 75.92 68.37
51 372 8 0.01 32 0.00001 48 1.000000e-08 0.000000e+00 58.99 68.98 58.66 59.39 58.56 76.94 75.03 57.27 58.25 57.99 75.11 75.11 72.17 74.31 58.09 73.99 57.47 74.41 75.57 74.74 57.41 58.40 73.87 57.03 56.58 75.81
32 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 69.85 58.79 58.48 58.77 58.35 67.44 74.21 58.89 59.05 57.97 75.16 75.41 67.60 58.49 57.58 74.39 75.05 73.69 75.96 68.50 91.87 58.00 74.64 59.22 74.84 57.39
4 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 58.72 58.40 68.62 58.59 58.45 75.12 75.03 58.46 57.03 89.57 70.42 75.22 89.51 74.11 58.10 73.49 58.39 74.31 75.57 76.42 75.28 58.26 75.89 56.97 76.19 68.44
74 372 8 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 73.64 57.53 58.46 58.61 58.76 69.29 74.04 58.14 58.24 58.05 74.61 58.84 68.37 74.09 59.75 74.65 58.71 69.43 76.25 74.92 57.24 58.06 75.96 58.07 57.19 76.02
70 372 8 0.01 32 0.00100 24 1.000000e-08 1.000000e-08 69.27 59.01 58.37 60.70 58.50 75.97 75.10 56.98 57.88 58.05 75.84 68.78 74.77 74.07 58.80 73.87 73.19 74.07 75.58 70.03 58.25 56.69 75.77 58.23 57.29 56.91
64 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 58.71 58.30 58.09 57.59 57.71 75.66 74.34 58.09 68.36 58.65 74.91 75.07 68.03 58.23 58.24 73.38 58.75 73.80 75.19 74.91 56.41 57.95 76.51 57.82 70.23 58.34
37 372 8 0.01 32 0.00100 36 0.000000e+00 1.000000e-08 59.06 58.98 58.25 57.92 58.80 75.78 86.72 57.08 74.33 58.18 74.87 67.77 74.89 69.09 58.96 69.00 73.83 73.85 70.73 75.36 57.50 59.13 74.68 60.06 75.43 57.64
29 372 8 0.01 32 0.00100 36 1.000000e-08 0.000000e+00 69.36 58.34 57.22 57.59 58.94 75.80 74.09 57.26 91.27 58.09 75.63 57.97 67.55 91.12 58.37 90.14 57.35 71.85 75.47 75.31 47.36 57.57 75.29 56.75 68.98 57.75
5 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 58.99 58.74 75.06 57.80 58.51 74.45 73.12 90.53 58.18 57.71 76.06 76.13 67.43 75.55 58.56 74.33 69.50 74.28 74.71 75.17 75.02 58.36 75.42 56.92 69.42 75.76
20 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 58.62 59.55 59.43 59.42 59.38 74.78 88.80 67.89 68.83 58.61 75.19 74.82 73.90 73.75 58.71 73.81 57.80 68.64 74.15 75.42 74.47 58.25 75.92 57.64 59.19 75.97
31 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 58.74 58.56 68.55 58.06 58.70 75.73 74.24 58.51 56.90 58.08 75.36 75.42 75.44 75.10 57.84 89.89 74.56 73.40 69.32 74.53 57.75 57.50 75.27 56.83 75.75 57.29
39 372 8 0.01 32 0.00100 48 1.000000e-08 0.000000e+00 58.71 58.58 58.45 57.63 58.51 91.40 74.09 58.49 69.13 68.58 69.80 76.53 74.93 74.84 57.40 69.09 58.21 74.28 75.63 73.23 57.64 57.41 76.97 58.26 74.96 57.87
25 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 74.88 58.19 74.82 57.96 59.25 91.70 73.19 57.60 57.64 68.18 75.13 75.43 73.97 75.44 58.74 73.41 56.85 73.15 75.13 75.30 56.56 57.13 75.82 76.14 56.83 57.47
26 372 8 0.01 48 0.00001 24 0.000000e+00 0.000000e+00 58.68 59.12 59.82 58.82 59.07 76.34 74.53 91.43 68.52 68.34 75.62 75.09 88.54 73.74 59.08 58.89 59.04 59.23 75.40 74.58 58.22 57.59 75.41 66.74 57.51 57.90
28 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 90.46 58.81 59.19 59.11 59.16 75.41 73.88 58.43 88.79 58.51 75.46 58.86 74.32 58.27 59.00 74.15 58.55 73.63 74.74 75.05 57.50 58.00 75.33 57.78 75.38 68.10
52 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 59.25 58.45 59.19 57.95 58.23 75.18 74.23 57.51 57.70 58.09 74.69 70.32 74.43 74.88 57.74 74.24 69.77 74.64 74.92 75.37 57.80 57.75 76.24 75.39 57.74 57.32
91 372 8 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 58.65 58.91 58.70 58.70 61.91 57.62 75.95 57.97 58.02 57.61 76.34 57.81 89.05 58.71 58.19 67.97 57.18 68.61 75.11 75.62 57.12 59.14 75.66 57.70 57.01 58.53
60 372 8 0.01 48 0.00001 36 0.000000e+00 0.000000e+00 74.19 58.31 58.76 56.99 59.50 76.67 74.30 58.73 59.12 58.15 74.87 75.89 68.37 74.29 60.18 73.26 58.29 89.91 75.89 75.08 57.50 56.03 57.30 57.11 57.48 57.71
47 372 8 0.01 48 0.00001 36 0.000000e+00 1.000000e-08 74.24 59.81 59.21 58.32 61.54 57.26 68.62 59.23 69.27 57.98 75.63 69.57 73.80 73.02 60.03 67.25 69.76 74.16 75.22 75.16 57.97 57.97 75.60 58.54 57.89 76.11
15 372 8 0.01 48 0.00001 36 1.000000e-08 0.000000e+00 70.87 58.63 91.63 59.26 58.94 75.27 73.61 58.52 60.50 60.45 76.52 75.17 73.96 69.71 59.31 72.68 58.06 73.74 75.42 74.43 58.43 57.25 90.34 59.43 69.45 59.08
76 372 8 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 59.22 58.50 58.45 58.42 59.01 56.90 73.53 58.53 58.52 58.57 75.16 74.34 73.04 69.68 58.43 72.72 59.22 74.31 75.95 75.10 57.45 58.91 68.52 58.85 75.69 57.11
89 372 8 0.01 48 0.00100 24 0.000000e+00 0.000000e+00 58.81 58.20 58.17 58.97 59.10 76.65 74.14 57.79 58.54 57.80 74.66 74.64 75.00 57.54 58.51 75.09 58.06 68.77 75.35 69.54 45.32 57.93 76.14 57.23 75.47 69.01
36 372 8 0.01 48 0.00100 24 0.000000e+00 1.000000e-08 58.79 58.54 68.82 60.03 60.49 74.60 68.59 58.84 58.24 58.62 75.61 75.44 89.48 59.07 58.50 73.53 59.14 68.91 74.69 75.42 91.11 59.30 76.29 58.08 58.48 58.99
33 372 8 0.01 48 0.00100 24 1.000000e-08 0.000000e+00 58.74 57.18 57.98 58.50 58.53 75.86 74.31 87.09 57.63 57.79 75.31 75.13 89.14 74.58 58.83 71.36 59.09 71.96 75.20 74.43 56.98 57.84 75.18 57.72 57.16 58.06
57 372 8 0.01 48 0.00100 24 1.000000e-08 1.000000e-08 59.74 57.96 92.21 58.44 58.79 75.05 68.83 56.83 58.35 58.41 76.15 56.78 67.53 74.23 57.44 67.70 69.76 89.08 75.15 75.11 46.88 57.82 70.14 57.29 56.98 57.32
55 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 58.71 57.68 58.63 58.66 59.44 57.98 73.45 58.09 59.70 90.41 75.30 75.42 68.69 69.00 58.02 68.07 59.13 73.86 76.36 75.65 57.07 57.75 75.16 57.87 58.13 68.57
22 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 74.23 87.93 58.70 58.54 58.94 57.92 74.10 89.63 58.52 57.40 69.93 74.69 75.16 74.95 57.74 72.79 68.83 73.42 74.81 75.39 57.87 61.34 76.18 58.29 57.80 59.91
67 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 58.76 59.93 60.39 58.73 59.06 73.99 68.26 58.44 69.55 58.83 75.47 59.00 67.99 69.47 58.04 75.34 58.89 72.77 76.30 91.06 58.13 56.70 75.29 57.97 58.69 58.06
78 372 8 0.01 48 0.00100 36 1.000000e-08 1.000000e-08 58.47 57.77 58.83 59.01 58.76 75.46 70.05 58.54 69.24 58.16 76.38 57.72 75.15 69.36 58.67 74.37 58.04 74.41 75.65 75.21 58.16 58.67 76.52 56.76 74.93 57.88
66 372 8 0.01 48 0.00100 48 0.000000e+00 0.000000e+00 58.79 58.49 59.13 59.80 59.81 59.02 74.39 59.05 57.84 70.13 75.37 57.69 74.37 73.38 59.31 72.60 74.58 68.21 74.63 75.38 57.19 58.06 75.36 58.53 74.92 58.56
86 372 8 0.01 48 0.00100 48 0.000000e+00 1.000000e-08 59.06 58.61 58.74 59.03 60.13 58.06 74.50 56.42 58.22 68.77 75.95 75.29 74.04 75.93 58.26 68.28 59.06 74.77 75.92 75.62 44.63 57.48 69.25 57.79 75.00 59.50
92 372 8 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 58.36 58.96 59.78 59.07 59.06 75.13 74.26 59.56 59.84 59.37 75.55 58.54 67.33 57.81 59.80 67.75 58.47 74.24 74.91 75.06 58.22 59.33 74.74 57.43 58.05 58.36
72 372 8 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 58.71 60.30 58.56 59.76 59.64 76.03 74.14 58.90 59.18 58.78 75.61 70.09 74.61 74.93 59.24 68.49 58.44 72.94 75.20 75.37 58.54 59.88 75.76 58.14 60.86 58.21
98 372 8 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 60.57 58.64 59.44 57.91 59.15 57.70 74.44 57.47 74.48 58.66 57.26 56.78 75.30 57.93 58.28 75.54 56.67 67.21 76.95 56.89 75.21 58.35 57.97 57.97 57.19 57.71
99 372 8 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 73.84 49.17 58.72 59.73 58.91 86.29 74.37 74.31 59.53 57.97 75.85 57.09 75.80 56.80 57.80 53.88 57.10 51.43 57.02 55.99 69.53 58.17 58.31 57.07 57.09 57.45
63 372 8 0.10 32 0.00001 24 0.000000e+00 1.000000e-08 71.81 59.25 63.19 58.23 59.25 57.14 83.18 57.52 51.91 86.58 87.50 89.32 75.80 57.16 57.55 75.72 49.66 57.31 88.68 56.48 57.44 58.41 56.88 56.40 57.32 57.18
75 372 8 0.10 32 0.00001 24 1.000000e-08 0.000000e+00 74.14 58.69 85.84 58.18 59.34 76.45 75.04 57.49 75.64 58.80 57.29 57.36 75.72 87.68 57.49 76.54 57.68 57.11 56.76 56.60 57.40 57.85 56.70 56.83 57.33 57.68
81 372 8 0.10 32 0.00001 24 1.000000e-08 1.000000e-08 86.47 57.32 59.01 59.26 59.09 76.25 75.06 57.05 76.05 58.40 76.07 57.26 75.04 58.03 58.55 76.01 57.67 58.25 77.03 57.04 58.38 58.35 56.93 57.53 57.98 56.91
87 372 8 0.10 32 0.00001 36 0.000000e+00 1.000000e-08 74.53 57.94 58.28 58.20 75.22 57.52 75.28 56.99 83.24 49.15 56.85 76.90 76.11 57.27 57.90 76.38 57.26 56.65 77.65 76.36 57.27 57.00 56.62 56.70 56.88 81.16
90 372 8 0.10 32 0.00001 36 1.000000e-08 1.000000e-08 74.16 58.76 50.98 58.63 73.64 50.00 86.20 58.87 62.98 80.39 57.46 57.88 66.15 61.09 58.00 76.20 85.88 75.45 58.03 56.60 58.53 57.12 57.75 57.62 56.93 58.11
85 372 8 0.10 32 0.00001 48 1.000000e-08 0.000000e+00 69.17 58.51 74.28 58.35 58.96 57.19 83.15 58.00 81.69 59.38 57.29 57.68 75.97 57.39 57.58 57.40 56.89 75.35 87.02 85.45 56.78 56.89 56.72 56.18 56.76 56.86
88 372 8 0.10 32 0.00001 48 1.000000e-08 1.000000e-08 74.51 58.92 74.78 57.90 58.13 76.06 90.46 57.77 56.43 57.98 76.75 56.64 75.88 57.21 57.70 83.58 83.92 57.14 56.63 56.36 57.52 56.72 56.39 56.43 57.78 56.58
96 372 8 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 80.34 59.29 59.05 58.93 59.59 56.90 74.95 58.10 84.47 59.67 57.32 85.82 76.02 57.74 57.80 76.40 57.41 75.53 50.25 56.47 59.33 58.65 51.67 57.38 57.72 57.47
77 372 8 0.10 32 0.00100 24 1.000000e-08 0.000000e+00 73.78 58.15 74.72 58.27 58.83 76.15 85.60 57.96 75.71 56.58 87.09 56.61 62.42 62.59 57.49 76.31 56.89 63.29 77.38 56.58 56.23 56.86 56.97 56.43 56.45 56.93
56 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 58.22 57.50 58.12 58.46 58.59 76.37 58.98 58.78 57.82 87.52 67.37 57.26 83.45 57.48 58.12 82.84 57.66 80.70 76.33 88.83 67.35 57.13 56.37 56.85 57.85 57.28
93 372 8 0.10 32 0.00100 36 0.000000e+00 1.000000e-08 74.66 49.17 58.87 63.78 65.69 76.58 75.02 57.24 75.55 86.19 90.08 56.41 76.71 56.50 58.79 57.11 57.06 57.93 57.54 56.21 58.24 58.07 56.70 57.18 57.47 57.22
94 372 8 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 52.21 57.48 64.27 58.17 58.12 57.99 73.27 57.83 58.25 58.93 57.40 57.53 75.69 76.71 57.59 89.51 85.40 75.99 76.35 49.50 57.17 58.05 58.39 57.36 57.65 57.14
83 372 8 0.10 32 0.00100 48 1.000000e-08 0.000000e+00 73.99 58.26 58.24 58.66 59.29 75.77 73.20 57.42 57.61 74.62 58.13 56.66 75.84 57.39 57.61 76.21 57.28 75.61 76.59 87.01 57.69 57.67 57.22 56.83 57.60 56.83
95 372 8 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 60.53 58.35 59.34 58.34 65.12 76.21 58.53 57.83 59.34 51.32 76.53 65.28 75.19 56.67 58.08 89.32 57.71 59.01 76.60 56.64 57.59 58.16 57.37 57.36 57.26 57.49
38 372 8 0.10 48 0.00001 24 0.000000e+00 1.000000e-08 74.86 58.38 58.51 58.35 60.32 57.58 74.77 65.30 86.29 57.82 57.58 56.79 75.15 84.31 57.43 88.58 66.37 75.57 76.51 90.76 56.47 56.13 56.57 56.81 55.77 57.47
68 372 8 0.10 48 0.00001 24 1.000000e-08 1.000000e-08 73.96 59.25 85.90 58.23 59.02 76.79 74.72 57.48 86.52 53.53 57.61 57.37 56.31 57.30 57.43 77.16 57.05 75.73 90.20 88.62 55.86 57.45 56.68 56.35 56.38 56.92
71 372 8 0.10 48 0.00001 36 0.000000e+00 1.000000e-08 74.92 58.90 52.31 58.14 59.44 56.52 74.92 56.86 83.52 57.10 76.33 57.26 76.48 56.08 57.17 87.62 57.51 64.14 76.60 88.25 57.47 56.68 55.82 55.82 56.78 56.93
69 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 55.02 58.19 64.99 58.76 50.63 50.42 87.66 57.54 64.27 58.82 89.28 56.88 75.24 89.48 58.00 86.01 57.07 63.92 90.98 56.76 57.78 56.50 57.30 57.26 56.63 57.18
41 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 54.09 58.26 74.93 57.56 75.44 76.39 75.61 57.36 75.87 58.99 77.70 76.90 76.17 57.64 58.00 87.76 56.59 90.85 56.76 56.56 71.18 56.60 75.74 56.26 56.45 56.30
43 372 8 0.10 48 0.00001 48 0.000000e+00 0.000000e+00 59.50 58.60 81.92 58.26 58.33 76.09 86.18 57.66 81.27 58.02 76.14 57.50 76.52 57.84 57.56 76.71 58.35 75.57 75.92 56.53 57.95 57.24 57.01 57.74 87.20 56.68
44 372 8 0.10 48 0.00001 48 0.000000e+00 1.000000e-08 59.82 58.51 75.03 58.45 74.41 57.71 74.15 58.10 87.40 57.39 91.32 57.31 75.82 82.72 57.73 68.77 56.98 84.57 76.84 56.44 57.04 57.08 57.44 56.51 57.63 56.93
46 372 8 0.10 48 0.00001 48 1.000000e-08 0.000000e+00 73.98 58.79 65.05 59.11 74.40 50.26 76.00 64.33 58.61 59.09 76.16 90.39 86.00 58.01 57.96 82.49 56.98 86.52 56.71 56.76 57.89 71.72 57.07 57.43 57.84 57.00
61 372 8 0.10 48 0.00001 48 1.000000e-08 1.000000e-08 74.01 58.54 50.55 69.49 59.12 50.44 75.19 57.80 74.80 58.51 50.25 57.75 75.16 87.81 57.64 75.39 87.55 87.07 76.32 56.38 56.76 56.98 56.92 56.93 56.62 70.58
84 372 8 0.10 48 0.00100 24 0.000000e+00 0.000000e+00 74.61 58.88 50.49 58.30 74.12 76.17 75.90 57.47 56.71 58.54 75.79 56.63 89.34 75.76 58.67 73.85 57.24 50.15 88.02 56.58 79.85 56.63 56.28 57.58 56.96 56.87
79 372 8 0.10 48 0.00100 24 0.000000e+00 1.000000e-08 74.50 58.26 74.06 58.76 59.11 57.52 88.66 58.42 66.90 58.68 76.20 56.73 75.83 86.61 58.44 75.74 58.39 59.51 57.20 56.88 56.44 57.87 57.59 56.76 58.00 58.13
73 372 8 0.10 48 0.00100 24 1.000000e-08 0.000000e+00 73.96 59.04 74.98 59.39 65.85 49.17 82.61 57.87 83.10 58.55 90.88 57.44 57.13 57.84 58.37 76.14 75.66 74.38 77.05 57.50 57.12 57.93 57.93 56.91 67.03 60.49
54 372 8 0.10 48 0.00100 24 1.000000e-08 1.000000e-08 74.86 57.77 58.57 58.16 59.39 57.23 74.83 62.22 88.99 62.71 75.67 56.75 75.38 57.38 59.44 86.77 56.92 62.66 56.50 90.31 57.48 56.54 75.39 56.19 57.73 56.37
45 372 8 0.10 48 0.00100 36 0.000000e+00 0.000000e+00 74.76 57.71 57.82 60.73 58.48 76.63 73.21 56.75 51.41 88.69 76.96 56.95 76.59 89.25 56.28 77.09 57.01 89.39 75.92 55.99 56.81 57.55 56.45 56.44 56.76 56.31
82 372 8 0.10 48 0.00100 36 1.000000e-08 1.000000e-08 74.48 58.38 75.26 59.12 74.51 76.15 87.18 57.66 89.33 50.27 57.20 56.88 87.78 58.25 57.70 88.17 58.24 62.23 57.03 56.40 56.19 70.14 56.31 49.17 57.31 56.93
59 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 84.75 60.23 73.98 59.25 59.58 76.24 49.17 58.77 59.34 59.28 76.26 57.50 75.34 58.27 75.15 88.18 57.69 91.72 76.00 57.29 58.15 58.11 57.28 57.39 57.76 58.50
97 372 8 0.10 48 0.00100 48 1.000000e-08 1.000000e-08 74.45 75.22 57.91 69.97 56.79 76.17 51.08 57.40 88.87 49.17 76.30 57.36 76.05 57.53 57.23 88.99 57.61 56.66 76.60 57.31 56.65 57.43 56.99 56.19 56.77 56.27
Size of the test data:  (100, 34)

Difference

Code
diff_mw = dt_mw[['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']]
for i, cols in enumerate(zip(dt_mw.columns,test_data_mw1.columns)):   
   diff_mw[f'col_diff_{i}'] = (np.array(dt_mw[cols[0]]) - np.array(test_data_mw1[cols[1]]))*-1

# Function to count negatives in a row
def count_negatives(row):
    return sum(1 for value in row if isinstance(value, (int, float)) and value < 0)

diff_mw['negative_count'] = diff_mw.apply(count_negatives, axis=1)

diff_mw.sort_values(by =["negative_count"],inplace = True, ascending=False)


html_table = diff_mw.to_html(index=True)

# Wrap in a scrollable div
scrollable_table = f"""
<div style="height: 400px; width: 100%; overflow-x: auto; overflow-y: auto;">
    {html_table}
</div>
"""
# Display the scrollable table
display(HTML(scrollable_table))

key_values = ['input_size', 'output_size', 'learning_rate', 'batch_size', 'alpha', 'margin', 'l1_reg', 'l2_reg']
print('Are the keys of the valid and test dfs same?: ',dt_mw[key_values].equals(test_data_mw1[key_values]))
input_size output_size learning_rate batch_size alpha margin l1_reg l2_reg col_diff_0 col_diff_1 col_diff_2 col_diff_3 col_diff_4 col_diff_5 col_diff_6 col_diff_7 col_diff_8 col_diff_9 col_diff_10 col_diff_11 col_diff_12 col_diff_13 col_diff_14 col_diff_15 col_diff_16 col_diff_17 col_diff_18 col_diff_19 col_diff_20 col_diff_21 col_diff_22 col_diff_23 col_diff_24 col_diff_25 col_diff_26 col_diff_27 col_diff_28 col_diff_29 col_diff_30 col_diff_31 col_diff_32 col_diff_33 negative_count
143 372 8 0.10 32 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -3.72 -6.82 -5.89 -6.90 -4.24 0.93 -7.31 -6.75 -6.28 -5.55 1.72 -5.53 0.57 -6.89 -6.44 4.48 -7.31 -6.29 0.96 -7.45 -8.36 -7.27 -7.57 -8.26 -6.99 -7.60 21
583 372 8 0.01 48 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.44 -5.64 -6.33 -5.65 -3.97 -6.59 0.42 -5.94 -6.75 -7.82 1.16 -5.51 0.16 -5.16 -5.20 -2.95 -5.82 -2.30 0.59 1.04 -6.59 -5.05 3.03 -6.77 -6.46 -5.87 20
282 372 8 0.10 48 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -3.33 -7.97 -4.64 -5.81 -5.19 -6.47 3.76 -7.51 -3.08 -5.61 2.76 -7.07 1.63 3.76 -5.66 4.29 -6.82 -5.05 5.67 -7.55 -7.89 -8.13 -7.66 -7.56 -7.79 -7.56 20
643 372 8 0.01 48 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.52 -6.13 -6.31 -6.48 -6.19 -6.48 -0.23 -6.29 -6.25 -6.60 1.29 0.16 -0.05 -1.03 -4.81 -0.53 -6.04 0.57 2.10 1.27 -6.98 -5.50 -1.03 -5.49 1.80 -8.03 20
601 372 8 0.01 24 0.00001 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.83 -5.96 -5.32 -6.47 -5.34 0.73 1.28 -5.95 -1.50 -6.75 1.29 1.33 -0.36 -4.29 -4.81 -0.94 0.16 -2.06 -1.69 -2.73 -6.19 -7.13 -0.83 -7.42 1.72 -7.55 20
541 372 8 0.01 24 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -3.06 -6.25 -5.78 -6.40 -5.35 0.39 0.24 -6.67 -1.97 -1.64 1.78 0.98 -3.27 -2.03 -4.74 -2.97 -1.05 -2.70 0.90 -2.26 -6.39 -6.43 2.94 -6.88 -6.01 -1.49 20
462 372 8 0.01 48 0.00100 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -7.43 -5.55 -4.40 -6.08 -5.73 -0.71 -2.74 -5.13 -0.10 -7.26 0.87 -5.24 -3.90 -2.28 -4.64 2.03 -4.02 0.25 1.88 3.03 -6.13 -7.09 2.37 -7.19 -5.00 -5.88 20
123 372 8 0.10 24 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.23 6.51 -6.25 -6.60 -5.95 6.25 2.08 -1.10 -4.20 -7.74 1.24 -6.76 0.83 -6.98 -6.49 -6.94 -7.72 -5.50 -6.88 -8.93 -2.83 -8.22 -6.76 -7.52 -8.31 -7.62 20
241 372 8 0.10 24 0.00001 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -4.95 -6.67 -6.03 -6.77 -5.81 -7.82 1.79 -7.38 3.03 -6.16 -6.68 -6.77 1.32 -6.08 -6.24 1.64 -8.18 -4.46 1.97 -7.07 1.12 -7.49 -7.51 -6.06 -7.76 -7.21 20
20 372 8 0.10 32 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.38 -5.88 -5.63 -6.38 -5.36 -5.98 1.63 -7.93 5.04 -6.16 -6.51 3.91 1.32 -6.56 -7.10 2.60 -7.19 1.72 -5.76 -8.17 -7.67 -6.72 -4.19 -8.21 -7.61 -9.01 19
522 372 8 0.01 48 0.00100 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -7.26 -5.82 -5.47 -5.88 -5.39 0.76 0.37 -5.45 -4.75 -5.71 1.46 -4.95 -3.90 -6.30 -3.96 -2.67 -5.83 0.94 1.34 0.26 -6.20 -5.63 2.56 -7.19 -6.93 -7.14 19
523 372 8 0.01 48 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -7.88 -4.01 -6.35 -5.79 -5.56 1.41 -0.51 -4.90 -5.17 -5.97 1.03 -0.37 1.47 1.87 -4.87 -1.04 -5.35 -0.12 0.84 0.05 -6.59 -5.20 3.35 -7.29 -3.99 -6.44 19
83 372 8 0.10 32 0.00100 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -4.98 -8.11 -5.58 -6.81 -6.82 -6.32 1.04 -5.95 -6.90 -5.65 -6.15 -7.04 1.04 2.24 -5.24 5.89 3.48 1.08 1.22 -6.49 -7.18 -8.00 -7.79 -7.94 -7.63 -7.96 19
460 372 8 0.01 48 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.47 -6.44 -6.00 -6.82 -6.07 -5.19 -1.15 -6.22 -6.17 4.05 0.97 0.90 -0.83 -1.74 -5.46 -2.94 -5.45 0.73 1.02 1.62 -6.10 -6.44 2.53 -6.86 -5.40 -0.99 19
382 372 8 0.01 32 0.00100 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -0.39 -6.67 -5.64 -5.83 -5.75 -1.75 -0.21 -5.46 -5.41 -7.35 0.24 -5.70 -3.01 0.50 -3.98 1.15 -4.93 -1.71 1.49 0.90 -6.18 -5.54 3.31 -5.34 -6.95 2.39 19
440 372 8 0.01 32 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -7.37 -6.64 -6.21 -6.40 -6.56 0.56 -0.33 -5.87 -1.72 -5.97 0.30 0.30 -2.51 -5.36 -5.22 -0.74 -5.47 0.76 0.80 0.08 -7.19 -6.31 2.60 -6.88 -1.85 -6.17 19
23 372 8 0.10 32 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -1.74 -6.56 -6.74 -6.94 -6.47 2.17 -6.09 -6.01 -6.32 6.54 -4.58 -6.32 2.45 -7.15 -5.19 4.15 -6.42 2.05 1.85 4.03 -2.54 -7.66 -7.48 -8.12 -7.89 -7.39 19
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542 372 8 0.01 24 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.13 -6.78 -1.75 -6.71 -6.05 0.69 -1.06 2.20 -3.88 -6.17 1.16 1.34 -0.17 1.04 -5.41 -1.52 -0.40 -1.50 1.94 1.14 -5.49 -6.72 3.21 -7.12 2.29 -7.09 16
501 372 8 0.01 32 0.00100 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.75 -5.41 -1.01 -7.09 -5.83 1.36 -0.24 -5.56 -7.11 -5.64 1.22 1.53 1.59 1.78 -6.15 2.29 0.12 -0.21 -2.08 0.80 -6.07 -5.94 2.11 -6.38 1.87 -8.22 16
160 372 8 0.10 48 0.00100 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.81 -6.52 0.79 -5.96 -5.68 1.34 6.51 -6.26 -5.60 -6.83 1.62 -6.57 0.63 -6.01 1.12 2.53 -6.06 5.37 1.06 -6.77 -6.16 -7.80 -8.43 -7.94 -7.64 -7.60 16
363 372 8 0.01 24 0.00100 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.37 -5.86 3.56 -6.20 -6.07 0.08 0.80 -5.50 -1.45 -1.92 2.02 1.73 -0.13 -1.57 -5.04 1.33 -5.20 -0.15 1.29 1.39 -7.57 -5.67 2.31 -1.50 3.50 -7.05 15
582 372 8 0.01 48 0.00001 24 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.99 -5.93 -5.10 -6.61 -5.98 0.77 0.76 -6.23 -7.15 -6.36 0.57 -0.75 1.03 1.86 -6.00 0.83 -1.51 1.80 1.13 1.58 -6.76 -6.17 3.84 1.48 -6.27 -7.31 15
660 372 8 0.01 24 0.00001 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.21 4.47 -5.45 -7.25 -5.53 1.01 0.90 -5.73 -2.64 -5.29 2.21 1.24 -3.04 -1.63 -5.24 0.76 0.69 -1.92 1.59 1.04 2.57 -2.40 -0.10 -7.21 -7.43 2.03 15
283 372 8 0.10 48 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.71 -6.86 1.05 -5.40 0.84 0.65 0.85 -6.81 1.48 -8.11 2.10 1.77 1.70 -4.92 -4.79 2.71 -6.48 3.38 -6.56 -6.99 -1.69 -7.19 4.43 -7.64 -6.74 -8.14 15
603 372 8 0.01 24 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.82 -5.78 -5.96 -6.59 -6.32 2.38 -2.26 -5.90 0.15 -7.47 1.81 -1.49 -0.87 0.23 -4.95 0.19 -5.44 0.78 2.57 1.72 -1.84 -7.00 1.97 -6.61 -5.85 2.23 15
543 372 8 0.01 24 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.73 -6.30 -1.79 -6.14 -5.69 -1.31 -0.14 -4.77 -5.88 -5.14 -1.50 2.07 1.55 0.78 -5.92 2.26 -0.63 1.10 0.38 0.36 -8.74 3.54 1.31 -7.09 1.23 2.41 15
420 372 8 0.01 24 0.00100 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.08 -5.89 -5.97 -6.15 -5.60 -0.33 1.29 -5.27 1.07 -1.49 0.80 0.12 0.36 -2.26 -5.17 1.88 -5.73 -1.60 0.94 1.37 1.54 -5.93 -1.06 -8.16 1.76 -7.47 15
483 372 8 0.01 24 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -0.17 -1.47 -5.19 -6.31 -5.82 -0.83 0.45 -5.54 -5.70 -6.47 0.80 1.30 1.83 -1.18 -5.54 0.58 -5.47 1.08 0.43 1.12 -6.76 -6.97 1.63 -5.51 2.20 1.87 15
422 372 8 0.01 24 0.00100 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.82 -2.07 -6.05 -5.99 -6.51 4.14 3.05 -5.70 3.05 -6.67 1.79 1.61 3.83 1.45 -4.43 -2.98 -6.36 1.30 0.96 0.25 -6.61 -7.07 2.15 -6.47 -3.64 -6.82 15
623 372 8 0.01 32 0.00001 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.23 -6.15 4.03 -6.73 -1.09 -0.63 -0.29 2.49 -5.60 -7.45 6.14 0.55 0.68 1.28 -5.64 1.19 -1.90 -0.66 1.24 1.85 0.20 -5.97 2.78 -6.98 -6.30 -6.93 15
500 372 8 0.01 32 0.00100 48 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.88 -6.45 -4.73 -5.43 -5.45 -0.37 2.30 -2.16 -1.80 -5.96 0.33 0.92 0.48 0.48 -4.50 0.10 -6.03 -2.56 0.03 1.15 0.92 -5.91 3.27 -7.59 -5.45 2.31 15
461 372 8 0.01 48 0.00100 36 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.28 1.32 -5.33 -5.98 -5.80 -5.85 0.23 2.59 -6.34 -6.33 -0.36 0.07 2.49 1.79 -5.64 -0.41 -1.30 0.10 0.68 1.29 -5.89 -3.02 3.03 -6.08 -6.94 -4.90 15
380 372 8 0.01 32 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.56 -6.46 -5.40 -6.15 -6.14 -3.86 1.00 -4.68 -6.62 -7.19 0.79 0.43 -3.95 -4.80 -5.61 0.55 0.45 0.82 0.95 -3.17 3.46 -6.19 1.73 -5.76 2.08 -8.33 15
540 372 8 0.01 24 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.74 -6.81 -6.19 -5.82 -6.34 0.74 1.31 -6.37 -6.26 -6.64 0.79 -2.27 -2.77 0.77 -5.00 0.04 -6.01 -2.13 2.33 0.18 -6.80 -6.52 2.90 -5.88 1.90 1.22 15
581 372 8 0.01 48 0.00001 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 4.82 -6.14 -5.07 -5.75 -5.78 0.50 -0.49 -5.54 1.31 -6.68 0.62 -5.13 1.20 -5.58 -4.50 0.28 -4.52 0.93 0.15 0.66 -6.42 -5.92 2.17 -7.20 1.95 -1.69 15
560 372 8 0.01 32 0.00001 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.84 -6.00 -5.46 0.55 -5.34 0.83 1.13 -5.00 2.53 -4.14 2.03 0.88 1.03 -5.16 -4.52 1.02 -5.69 0.69 0.99 0.86 -6.06 -7.01 0.80 -7.10 -7.11 -7.68 14
423 372 8 0.01 24 0.00100 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.97 -5.58 -6.78 -5.50 -5.24 0.81 0.60 2.21 1.10 -6.29 2.26 1.68 -2.33 -2.78 -4.50 -0.80 0.78 -2.49 2.07 0.63 -7.10 -6.29 2.37 -5.87 3.03 -7.23 14
602 372 8 0.01 24 0.00001 36 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.85 -5.78 -1.06 -6.44 -6.18 0.30 0.39 -5.65 -6.01 -7.63 0.31 1.41 0.70 0.52 -5.66 1.91 2.17 -3.65 -1.49 0.90 -8.47 -6.95 2.10 -7.32 1.25 -7.21 14
360 372 8 0.01 24 0.00100 24 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.58 -6.42 -5.09 -6.04 -6.76 1.36 0.01 -2.30 -5.48 -6.19 1.85 1.75 1.04 0.99 -4.42 -2.32 -2.01 -0.39 0.71 0.31 -6.96 -7.01 2.16 1.84 2.42 -7.72 14
563 372 8 0.01 32 0.00001 24 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.07 -6.92 -6.58 -6.39 -5.50 0.68 0.26 -5.48 0.60 -5.90 1.25 0.35 -3.20 1.01 -5.69 -3.93 0.50 0.89 0.74 0.90 -5.63 -6.46 2.36 -6.12 -4.65 0.81 13
662 372 8 0.01 24 0.00001 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.62 -6.66 -0.51 -5.86 -5.01 0.99 0.72 -4.55 -4.27 -6.23 2.04 1.14 -2.35 0.86 -4.57 -0.25 -0.01 0.58 0.85 0.66 -6.19 -6.46 1.87 2.82 2.39 1.26 13
381 372 8 0.01 32 0.00100 24 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.78 -5.88 -1.34 -6.19 -6.08 0.33 0.18 -5.42 -6.44 1.73 -0.34 1.22 0.68 1.24 -4.55 0.89 -5.50 0.94 0.74 1.67 1.39 -6.51 2.34 -7.33 2.51 -1.68 13
443 372 8 0.01 32 0.00100 36 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -5.43 -6.18 0.49 -6.74 -6.00 -0.00 -0.42 2.02 -6.47 -5.91 1.81 1.62 -3.65 2.72 -4.97 0.87 -2.01 1.53 0.57 0.92 2.34 -6.03 2.06 -7.53 -2.71 2.41 13
503 372 8 0.01 32 0.00100 48 1.000000e-08 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.84 -6.60 0.86 -6.21 -5.23 2.68 -0.60 -5.86 -6.89 -2.73 0.80 0.98 0.05 2.22 -4.30 0.80 -5.67 1.03 1.04 1.02 -7.06 -6.38 3.61 2.28 -6.68 -6.79 13
681 372 8 0.01 32 0.00001 48 0.000000e+00 1.000000e-08 0 0 -0.0 0 -0.0 0 -0.0 -0.0 -6.26 -5.20 -5.18 -6.68 -5.13 -0.71 0.85 -6.24 1.21 -4.25 1.06 0.63 1.91 1.02 -5.52 0.18 0.73 0.62 0.83 0.54 -6.42 -6.50 3.08 -6.48 2.63 -1.97 13
600 372 8 0.01 24 0.00001 36 0.000000e+00 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 0.87 -5.24 -6.43 -5.47 -5.89 0.16 3.78 -5.72 -6.06 -5.82 0.57 1.96 0.24 0.80 -4.98 -1.11 0.76 0.88 0.54 0.97 -6.44 -6.62 2.43 2.49 2.61 -7.09 12
482 372 8 0.01 24 0.00100 48 1.000000e-08 0.000000e+00 0 0 -0.0 0 -0.0 0 -0.0 -0.0 1.08 -6.12 3.45 -6.84 -6.09 0.69 3.50 -6.58 1.59 -6.80 1.47 0.38 1.65 -5.55 -4.49 0.82 0.64 1.56 0.95 2.01 -6.63 -7.03 2.43 -7.45 -8.06 -8.12 12
Are the keys of the valid and test dfs same?:  False

Average & Std Deviation of the Significant rows:

mean std
mAP_valid_abs_values_16 75.0092 5.651647
mAP_valid_abs_values_7 74.6767 5.816269
mAP_valid_abs_values_13 74.5702 5.280436
mAP_valid_abs_values_11 74.0128 5.755933
mAP_valid_abs_values_19 73.5403 4.463060
mAP_valid_abs_values_18 72.5249 5.521301
mAP_valid_abs_values_20 72.3495 6.257200
mAP_valid_abs_values_6 72.1377 7.017047
mAP_valid_abs_values_14 70.6853 6.147259
mAP_valid_abs_values_12 70.4902 5.614092
mAP_valid_abs_values_23 70.0235 4.421898
mAP_valid_abs_values_9 69.7733 7.060057
mAP_valid_abs_values 69.7361 5.403071
mAP_valid_abs_values_3 67.6477 6.583348
mAP_valid_abs_values_25 67.4887 5.143091
mAP_valid_abs_values_17 67.4234 5.467562
mAP_valid_abs_values_8 66.7780 6.634564
mAP_valid_abs_values_26 66.4829 3.491247
mAP_valid_abs_values_10 66.0376 5.919745
mAP_valid_abs_values_5 65.5601 2.961951
mAP_valid_abs_values_21 65.2480 5.350683
mAP_valid_abs_values_2 65.2101 5.127323
mAP_valid_abs_values_4 65.0940 1.529487
mAP_valid_abs_values_22 64.8179 2.795104
mAP_valid_abs_values_24 64.8165 3.173700
mAP_valid_abs_values_15 63.8231 1.259981


We then apply the hyperparameters to the test set and average the results.

Code
####################################################
# Use the hyperparameters to the test data.
####################################################
optimal_params = dt_valid.loc[dt_valid_sub_mw1.index].iloc[:, :6].reset_index()
optimal_params.drop(['index'], axis=1, inplace = True)

#rotation invariance test data with optimal parameters
test_data_1 = pd.merge(optimal_params, dt_test, how='left')
test_data_1_sub = test_data_1[list(test_data_1.columns[test_data_1.columns.str.startswith('mAP_test')])]
test_data_1['average_map'] = test_data_1_sub.apply(np.mean, axis=1)

test_data_1.sort_values(by=['average_map'], ascending= False,inplace=True)
mean std
mAP_test_abs_values_7 74.695650 7.585041
mAP_test_abs_values_13 74.567825 6.915213
mAP_test_abs_values_16 73.875575 8.196911
mAP_test_abs_values_11 73.791650 8.913692
mAP_test_abs_values_19 73.229775 7.847723
mAP_test_abs_values_18 71.753700 7.986762
mAP_test_abs_values_20 71.076725 9.661065
mAP_test_abs_values_6 70.748025 9.855997
mAP_test_abs_values_23 69.063025 8.908015
mAP_test_abs_values_14 68.447125 9.362696
mAP_test_abs_values_12 68.340925 9.273026
mAP_test_abs_values 67.069625 9.084060
mAP_test_abs_values_9 66.126575 10.050049
average_map 65.798158 2.276846
mAP_test_abs_values_3 63.808600 9.899891
mAP_test_abs_values_25 63.777450 9.055905
mAP_test_abs_values_17 63.297875 8.090686
mAP_test_abs_values_8 61.546900 9.078485
mAP_test_abs_values_26 60.932600 6.848936
mAP_test_abs_values_10 60.838150 7.608262
mAP_test_abs_values_5 60.145325 4.333112
mAP_test_abs_values_21 59.724575 8.138446
mAP_test_abs_values_2 59.645600 5.613230
mAP_test_abs_values_4 58.880650 2.513828
mAP_test_abs_values_24 58.729025 4.519123
mAP_test_abs_values_22 58.372625 4.027958
mAP_test_abs_values_15 58.266525 1.689238


Summary using radar plot

Code
def extract_number(text):
    if isinstance(text, str):
        matches = re.findall(r'\d+', text)
        return int(matches[0]) if matches else 1
    return 1

res_valid1['id'] = res_valid1.index.to_series().apply(extract_number)
res_test1['id'] = res_test1.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid1,res_test1])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test1 = res_test1.sort_values(by=['id']).reset_index().query("index !='average_map'")
data_range1 = np.array(list(res_test1['mean']) + list(res_valid1['mean']))
categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test1['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid1['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "T-Test",
        'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range1.min()), round(data_range1.max()) + 1 + 1]
    )),
  showlegend=True
)

fig.show()

##############


res_valid2['id'] = res_valid2.index.to_series().apply(extract_number)
res_test2['id'] = res_test2.index.to_series().apply(extract_number)



res_comb = pd.concat([res_valid2,res_test2])
index_series = res_comb.index.to_series()

res_comb['type'] = np.where(
    index_series.str.contains('valid', case=False), 'valid',
    np.where(index_series.str.contains('test', case=False), 'test', 'unknown')
)
res_comb = res_comb.query("type !='unknown'")

res_comb =  res_comb.reset_index(drop=True)


res_test2 = res_test2.sort_values(by=['id']).reset_index().query("index !='average_map'")

data_range2 = np.array(list(res_test2['mean']) + list(res_valid2['mean']))

categories = [str(i) for i in range(1,26)]
fig = go.Figure()

# Valid
fig.add_trace(go.Scatterpolar(
       r=list(res_test2['mean']),
      theta=categories,
      #fill='toself',
      name='Test'
))

# Test
fig.add_trace(go.Scatterpolar(
      r=list(res_valid2['mean']),
      theta=categories,
      #fill='toself',
      name='Valid'
))

# Customization of chart
fig.update_layout(
  title={
      'text': "MU-Test",
         'xanchor': 'center',
      'yanchor': 'top'
  },
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[round(data_range2.min()), round(data_range2.max()) + 1]
    )),
  showlegend=True
)

fig.show()




Comparisons of bit size results

T-test curves

MU-test curves